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[外文投稿] 贴出您回复审稿人意见的回复信和技巧【欢迎分享,威望+钢镚奖励】

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ywshui 发表于 2011-8-19 09:57:41 | 显示全部楼层 |阅读模式

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本帖最后由 ywshui 于 2011-11-13 09:58 编辑

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贴出您对SCI审稿人或编辑意见的回复信或回复技巧
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1、在本帖贴出审稿意见回复信者且文章被SCI接受,每篇威望加1(IF>1),金钱加100.
2、在本帖贴出审稿意见回复信者但文章未接受,每篇金钱加100.
3、经验和技巧分享者,金钱加1-100,视具体情况和实际贡献而定。
4、由于疏忽未加分者,请短消息我。(注:Epiman论坛金钱可以参加积分商城的活动以及资料下载等等)


文章的发表过程其实是作者和审稿人的博弈过程,“征服”了你的审稿人和/或编辑(甚至主编),那么你的文章也就发表了。为此,特开此帖,分享你怎么样回复审稿人,包括经验、策略或原则。欢迎分享,有大把钢镚奖励。

为此,鄙人先抛砖引玉,介绍一下自己对于回复审稿人的一点感受:
我个人认为的回复审稿人的原则为:

Rule 1: Answer completely
回答充分。包括两层含义:全面,二是系统。首先是全面,若审稿人在一条意见里面提了n个小问题,全面就是要你全部回答这n个分问题,即使一个很小的问题,你都要充分考虑,这是对审稿人的尊重。你若觉得不必要回答或者不屑与回答(如审稿人可能是另外一个专业的,就某一领域提出了低级的弱智的问题),这可能会成为你被拒的因素之一。其实说白了,就是一个礼貌问题。第二是系统回答,就审稿人的某一问题,你在询证(rule3会讲到)的基础上,系统的回答了问题,这不仅是对审稿人的劳动成果的尊重,也表明了你对问题的严谨慎重的态度和你对问题分析的强的逻辑关系。也反应了作者对科学研究严谨的态度,可能会给审稿人留下很好的印象。

Rule 2: Answer politely
俗话说你有理还必须有礼。首先反映在言语方面,礼貌问题对于中国人我不想多说,但有几点要说,如回复信的开头最好是Dear Dr. 或 Prof. + family name,最好不要Dear editor,在回复信的致谢里面除了感谢编辑和/或主编外,还要感谢审稿人的辛勤劳动和宝贵意见。其次反应在问题回答方面,对于比较尖刻的问题要据理力争,但切忌出现较尖锐的词句,对于比较低级(请再次确定是否为低级,不要是由于作者的无知,那就闹笑话了)的问题,也要不厌其烦的回答,尤其是这种情况下,更要耐心解释,因为他或她不明白是怎么一回事。最后反应在态度上。摆正自己的姿态,你要知道审稿人一般都是本领域的专家,获得肯定是对她或他的尊重(但明显错误的问题除外),不要一上来就,I definitely disagree with the referee等等,谁看谁上火,更何况是专家,比较委婉的句子有:
We agree with the referee that ……, but
The referee is right to point out …., yet
In accordance with the referees’ wishes, we have now changed this sentence to …
Whilst we agree with the referee that……..
It is true that …, but
We acknowledge that our paper might have been…., but
We too were disappointed by the low response rate…
We agree that this is an important area that requires further research…..
We support the referee’s assertion that …., although
With all due respect to the reviewer, we felt that this point is not correct…
大家切忌。

Rule 3: Answer with evidence
最后就是讲究证据,这一条的比重是最大的,我个人认为至少占60%。试问一个空穴来风的回答能让审稿人信服吗。证据主要是来自已经发表过的文献或专著,也可以来自自己的数据补充,这一条写的很简洁,但是是最重要的一条。
laolang 发表于 2011-9-29 16:37:21 | 显示全部楼层
这个提议很好,个人认为,如果文章被退修的时候,一定要足够的重视,要注意退修的期限,比如规定一个月的有效期,最好在半个月就改好。

点评

至于赶时间,我觉得要保证质量,有时候1周改好了,某些战友的经验是适当放一放,过一段时间再投,给人感觉比较稳重,证明是慎重对待  发表于 2011-10-3 15:22

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 楼主| ywshui 发表于 2011-10-28 11:51:08 | 显示全部楼层
本帖最后由 ywshui 于 2012-2-19 18:48 编辑

这是我被接受的一篇文章(影响力大于5的)的意见回复信(只包括审稿人1和2以及学术编辑,不包括杂志助理编辑即审稿人3,原因为涉及到稿件信息),作为例子贴出来和大家分享(部分信息已经隐去,鉴谅)。
Dear Dr. XXX,
On behalf of my co-authors, we would like to thank you very much for giving us an opportunity to revise our manuscript entitled “XXXXXXXXXXXX” (Ms. Ref. No.: ##########). We appreciate reviewers very much for their valuable and constructive comments on our manuscript. We have revised the manuscript, and would like to resubmit it for your consideration. Please note the current version containing new line and page numbers in the text, some grammar and spelling errors have also been corrected. Furthermore, the relevant regulations had been made in the original manuscript according to the comments of reviewers, and all the revised portions were marked in red font. We also responded point by point to each reviewer’s comments as listed below, along with a clear indication of the location of the revision. Hope these will make it more acceptable for publication.
1        Replies to Reviewer #1
1.1 Major comments
Major comments #1: This study is timely, given the number of studies that have been published to date, and the need to consolidate the information across populations. The methodology is generally sound, the language used is concise and clear, and the approach appears to be a balanced one. In general, the presentation of results from each study should emphasize the various sub-populations, so that the comparisons are meaningful in the context of the XX-lung cancer hypothesis. E.g. results are summarized graphically in one  Plot, which gives the overall results for each study - unfortunately, in many cases the populations are quite different, and presenting the results in this way is not optimal. It would be very helpful to the reader to stratify individual study results by gender, smoking status and Asian/non-Asian population and present these separately in the  Plot.

Answer: Changes have been made as suggested.
We agree. Three figures have been plotted to display the results (XX intake and the risk of lung cancer) by gender, smoking status, and study population (shown in Supplemental Figure 1, 2, and 3. page 27-29). Considering the manuscript length, we decide to provide these graphs as online supplemental materials (OSM). And the relevant data can also be available in Table 3 in the text.


Major comments #2: Differences in average intake of XX and soy isoflavones between populations are notable, and this is mentioned on page 8 (line 3-4), but only briefly. Would strongly suggest that this is described in more detail, and that the discussion and interpretation of the results should take this into account. For example, in the Discussion, page 10 line 10, there could be some indication as to what level of intake would constitute a 'diet rich in soy', based on the available evidence.  

Answer: Relevant data regarding levels of soy or soy isoflavones intake in studies we analyzed have been added in Table 1 (i.e., levels of soy or soy isoflavones consumption in the highest and the lowest category). In addition, comments have been made in Discussion section (line 3-9, page 12), and we only compared the values for soy isoflavones intake between Asian and Western populations, because values for total soy food intake are not available in studies from Western populations.
As the referee suggested, it is very meaningful that more recommendations based on the available evidence should be made for the public. For example, based on the epidemiological data, what amount of average soy or soy isoflavones intake is needed for a reduced risk in lung cancer. In order to answer this question, we extracted the dose-response data from included studies (shown in Table I, Supplemental data for reviewers only) and attempted to conduct a dose-response analysis (1. Greenland S, Longnecker MP. Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol 1992; 135:1301-9.; 2. Hamling J, Lee P, Weitkunat R, Ambuhl M. Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category. Stat Med 2008;27:954-70.). Unfortunately, we failed to summarize those dose-response data due to different methods used to assess and report soy intake across the included studies (Table I). Moreover, because no included study has simultaneously evaluated the three key elements of soy or soy isoflavones intake i.e. frequency, intensity, and duration, or at least two of the three, and the dose-response relationships are not fairly consistent (Table I), it is difficult to determine which levels of soy or soy isoflavones intakes are optimal in lung cancer prevention. This issue was discussed in the revised text (line 11-17, page 13).


Major comments #3: The differentiation between fresh and fermented soy food is not very clear (page 12 lines 14ff). I am not sure if I understood this paragraph, but were the two studies (trials?) selected based on the inclusion of fermented foods, and did this mean that the estimates for unfermented soy foods were not included in the analysis? If so, what would the potential impact be on the summary OR? The basis of selection of specific types of soy foods for specific studies would need to be explained in the methods section more clearly.  

Answer: Changes have been made as suggested.
Fermentation is a processing method for improving nutritional and functional properties of soybeans due to the increased content of small bioactive compounds. The large protein, lipid, and carbohydrate molecules in raw soybean are broken down by enzymatic hydrolysis during fermentation to small molecules such as peptides, amino acids, fatty acids, and sugars, which are responsible for the unique sensory and functional properties of the final products (Kwon DY, Daily JW, Kim HJ, Park S. Antidiabetic effects of fermented soybean products on type 2 diabetes. Nutrition Research.2010;30:1-13.). In addition, human in vivo study showed that fermentation can increase the availability of isoflavones in soy via increasing the urinary isoflavonoid recovery (Hutchins AM, Slavin JL, Lampe JW. Urinary isoflavonoid phytoestrogen and lignan excretion after consumption of fermented and unfermented soy products. J Am Diet Assoc 1995;95:545-51.). However, to the best of authors' knowledge, no published data, to date, has compared the effects of fermented soy foods with those of unfermented soy foods on carcinogenesis in animal experiments. Although dietary supplementation with miso shows an inhibitory effect on breast (46), stomach (47), and colon (48) tumorgenesis, there is currently no published study available in a lung model. Therefore our finding (i.e. the different effect on lung cancer was observed between fermented and unfermented soy foods) underscores the need for future studies to clarify the difference between fermented and unfermented soy food in the etiology and prevention of lung cancer, and we rewrote the comments on this issue in discussion section (line 13-23, page 12).
Because two studies (28, 29) separated the risk estimates according to the different types of soy foods (i.e. tofu, miso soup, soybean, and soybean curd), and did not report the effect of total soy food or soy product intake, we only selected tofu in overall analysis in our previous version. But in current revised manuscript, the study-specific estimate was recalculated in these two studies (28, 29), via pooling the risk estimates of those various soy types reported in each study, weighted by inverse variance (18) (line 18-21, page 6 and line 11-13, page 8). However, the study-specific OR/RR in overall analysis from other studies we analyzed was based on a wide range of soy foods and can be most representative of the total soy or soy product intake (Table 1-footnote, page 22).


1.2 Minor comments
Minor comments #1: Table 1: The OR/RRs quoted in the table are assumed to be the overall estimates for each study. For Ref 29, the OR quoted is the figure for smokers only (this also applies to Fig 2).

Answer: Errors have been corrected in the revised version.


Minor comments #2: References in Table 1 are not in accord with the text and reference list.

Answer: Errors have been corrected in the revised version.


Minor comments #3: Would suggest removing the analysis by specific isoflavones (table 3 and page 12 lines 19-22) because of the limited number of studies that reported results separately for genistein/daidzein/equol.

Answer: Changes have been made according to the referee’s suggestion.


2        Replies to Reviewer #2
2.1 Major comments
Major comments #1: The authors conducted a study on the association of xx and xxx intake with risk of lung cancer. They found an inverse association in the overall studies, and inverse association seemed to be restricted to women, never smokers, and Asian populations.
This meta-analysis included a study using plasma isoflavone concentration (reference no. 33). All other studies seem to assess dietary intake using questionnaire. Plasma isoflavone concentration is not identical to dietary intake because plasma level reflects not only intake but also absorption and metabolism of isoflavones. In fact the total isoflavone concentration in the plasma study includes equol. The exclusion of the study from main analysis should be considered.

Answer: Changes have been made based on this constructive suggestion.
Arai Y and colleagues found that the dietary intake of daidzein and genistein after adjustment for total energy intake was significantly correlated with the plasma concentration (r = 0.335 for daidzein and r = 0.429 for genistein) (Arai Y, Uehara M, Sato Y, et al. Comparison of isoflavones among dietary intake, plasma concentration and urinary excretion for accurate estimation of phytoestrogen intake. J Epidemiol 2000; 10:127-135), suggesting that measurements of plasma concentration of isoflavones (genistein and daidzein) are useful biomarkers of dietary intake. However, whether the plasma equol or the three (i.e., genistein, daidzein, and their metabolite: equol) can reflect the level of total dietary isoflavones intake is unknown. In addition, no evidence shows that almost the entire dietary isoflavones intake in the study by Shimazu T et al (Shimazu T, Inoue M, Sasazuki S, et al. Plasma isoflavones and the risk of lung cancer in women: a nested case-control study in Japan. Cancer Epidemiol Biomarkers Prev 2011;20:419-27.) is from soy foods.
For the above uncertainties, inclusion of a study by Shimazu T et al, may threat to the validity of research synthesis in our analysis, and we cautiously excluded it in the current version of our manuscript and modified the study selection criteria in Methods section (line 17-19, page 5).


2.2 Minor comments:
Minor comments #1: Title: Because soy foods are not equal to isoflavones, “Soy intake is…” should be “Soy and isoflavone intake is…”

Answer: No change has been made.
Our present meta-analysis mainly focused on the relationship between soy food intake and the risk of lung cancer. Although the constituents responsible for the hypothesized anticancer effects of soy have not been definitively identified, soy isoflavones have received the most attention, and considerable evidence suggests that they are the primary soy chemopreventive agents (Messina M, Flickinger B. Hypothesized anticancer effects of soy: evidence points toward isoflavones as the primary anticarcinogens. Pharm Biol 2002; 40:S6–S23). Thus, we also, with interest, tested the effect of soy-derived isoflavones (daidzein and genistein) intake on lung carcinogenesis based on currently available epidemiological studies (refs. 25-27, 32, please see the reference list in the revised version), while other isoflavones (e.g., biochanin A and formononetin) or other dietary isoflavones sources rather than soy in relation to lung cancer was not studied in current analysis. We therefore believe that the title in the text can sufficiently and accurately summarize our work.


Minor comments #2: Table 1: The authors used the word “Soy isoflavones”. Foods other than soy may contain isoflavones. Almost all of the isoflavone sources in Asian populations may be soy foods. However, is this the case in non-Asian populations? If not, “Soy isoflavones” should be “Isoflavones”. Also, if available, absolute value of isoflavone intake in the highest category is informative.

Answer: Yes, it has been known that isoflavones are found in a number of legumes, grains and vegetables in addition to soy. Although dietary soy is the main contributor to the total isoflavones intake worldwide, no evidence suggests that almost the entire dietary isoflavones sources are soy foods, even in countries with high soy consumption, such as Japan, Singapore, and China (Messina M, Nagata C, Wu AH. Estimated Asian adult soy protein and isoflavone intakes. Nutr Cancer 2006; 55:1-12).
“Soy isoflavones” in current version of our manuscript means the isoflavones ONLY derived from soy foods, and we only included studies if they evaluated the association between soy or soy-derived isoflavones (refs. 25-27, 32) and lung cancer risk (line 13-19, page5).
The data as to the amount or the frequency of soy or soy isoflavones intake in two compared categories have been added in the revised version (shown in Table 1). Moreover, some comments have been made in the Discussion section (line 3-10, page 12) regarding this issue.


3        Replies to editor’s comments
There are several places in the paper in which the authors overstate or over interpret the lack of statistical significance to mean the lack of evidence of an effect. The issue is clearest in the discussion of males versus females. The point estimate of the association for males shows a larger benefit for men (RR-0.65) then it is for women (RR=0.75), but because of the lack of formal statistical significance the authors state thate 'there was no evidence of preventive effect in men'. This is an overstatement for two reasons. First, the evidence of preventive effect IS the point estimate NOT the fact that the confidence interval crosses the null value. The point estimate for men clearly suggests a preventive effect, but when inspecting the confidence intervals one cannot rule out the chance as an explanation. This leads to the second point. Unless there is an interaction with gender there is no basis for the gender stratification in the first place. The needless stratification leads to a loss of statistical power and a type II error when interpreting the stratum-specific results. Please revise the paper in a way that does not overstate the importance of the lack of statistical significance in the stratified analysis.

Answer: In accordance with the editor’s wishes, corrections have been made.
We agree with the editor that the needless stratification leads to a loss of statistical power and a type II error when interpreting the stratum-specific results due to the smaller sample size in each stratum, and the evidence of preventive effect IS the point estimate NOT the fact that the confidence interval crosses the null value. Indeed, we overstated or over interpreted the lack of statistical significance in some situations in the previous version of our manuscript. However, we cannot either rule out the possible interaction between soy food intake and gender as well as other factors (i.e., smoking status, and ethnicity). Because epidemiological studies cannot directly evaluate mechanisms, we believe that insights from studies of stratified analyses (subgroup analyses) are necessary. Especially when different protective effect of soy consumption on lung cancer are observed in different smoking status, ethnicity, and gender, such possible effect modifications or interactions, if they do exist (not by chance), can provide clues to biological mechanisms i.e. soy might exert its preventive effect on lung carcinogenesis through the EGFR-mediated signaling pathway. (More detailed explanation: line 13-19, page 21). But given the limited number of studies included and the possible consequence of insufficient statistical power, those results should be interpreted with caution and need to be confirmed in future research (the relevant comment has been made in line 20-21, page 21)



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 楼主| ywshui 发表于 2011-11-13 18:17:29 | 显示全部楼层
请大家踊跃交流,积极性不高啊!下面再一次贴上老外的(美国留学生)一篇回复信,和大家share一下:
Authors’ Responses to Reviewers’ Comments

I. Reviewer #1 (Reviewer Comments to the Author):

#1. In this manuscript, the authors utilize two unique cohorts to examine the premise that marital status is associated with overall mortality.  This construct is not new, but has not previously been examined in detail in a Chinese population and thus this manuscript does provide a unique contribution to the literature.  The authors make a good case for the reasons for investigating this association within this population and are uniquely positioned to do so.  A considerable strength of this is its use of a two longitudinal prospective cohort studies to examine the association.  However, several major revisions would strengthen this paper and should be considered prior to publication.


Minor point:  
#2. The manuscript would benefit from substantial reading and editing for English language flow.  I found many small errors and will list some of them here to help the authors with their next draft:
Abstract (line 20):  Divorce (not divorced) was associated. ..; Line 21: Among men, being unmarried was?.  


We have edited the paper for English language flow.     


Introduction:
#3. 2nd para line 41: ?mortality IS influenced by?  Also clarify what is meant by "factors associated with different marital states."  The direction of association is not clear from this review.  This gets to the mechanism concern elaborated below 3rd para line 51. Needs citation regarding the divorce rate in China.

We have replaced the first sentence in the second paragraph of the introduction in the second paragraph of the introduction to fix the grammatical error and to clarify both the factors associated with marital status and the direction of associations for these factors.   Factors associated with different marital status includes socioeconomic status and behavioral status such as diet, alcohol consumption, and risk taking behavior.  We provided several examples of this association (Introduction, paragraph 2, sentences 2-4).  Additionally, we have added a citation for the divorce rate in China (Introduction, paragraph 3, sentence 2).



#4. 3rd para 55.  How has the One Child Policy influenced the association between marital status and mortality?  Mechanism is not clear.

A reduction in family size may impact elderly care.  In China, much of the care of the elderly is placed upon the children and spouse.  However, as the widow population increases, much of the burden will further be placed on the child without the assistance of siblings.  
Thank you for bringing this to our attention.  We have clarified it in the manuscript (Introduction, 3rd paragraph, sentences 6-8).


Methods:

#5. Regarding the statistical analysis, I have a specific concern regarding the study of interactions.  Was every possible interaction between marital status and covariates investigated, and if so, why?  This seems like it could be a fishing expedition.  Remember that the search for statistical interactions is applying a statistical hypothesis test, so what hypotheses were being tested with each of the interactions investigated?  There may be a theoretical mechanism behind the reason for exploring each of these interactions but if so, the authors did not elaborate in their background or discussion, other than for the interaction between gender and marital status in the discussion.  (I would add some of this to the background as justification for looking for the interaction though).  If this was more of a fishing expedition, a more conservative approach would be to divide the p-value by the number of statistical interactions investigated to minimize the possibility of Type 1 error.

We have removed results on the association of marital status and mortality by WHR from our revised manuscript both to address the reviewer concerns regarding the validity and interpretation of this analysis and to improve the clarity of our manuscript.  

#6. Regarding the description of the control variables, much clarification is needed.  
First, readers would benefit from an explanation of the validity, reliability of the measures used as control variables.  

We cite two articles that tested validity and reliability for the assessment of diet and the assessment of physical activity in the Methods section (Methods/Study Participants, paragraph 1, sentence 2).  Additionally, we have added further explanation regarding population selection and data collection in the Methods section (Study participants, paragraph 1, sentence(s) 3-5).   

#7. Second, the hypothesis of the why these control variables were chosen is not clear in all cases.  For example, Is there some reason to think that ginseng use would affect the association between marital status and mortality.  Again, expanding the background section to discuss in more detail the mechanisms and reasons for the choices made in the modeling would be helpful.  Its not immediately obvious.

We selected a priori baseline characteristics that have been shown to be associated with marital status and/or mortality or were factors of interest as potential confounding factors from the baseline survey.  Furthermore, we did a bi-variate analysis looking at the association between each selected baseline characteristic with marital status and mortality.
These methods have been clarified in the Methods section (Statistical Analysis, paragraph 3, sentences 3-4 and sentences 13-18).

Third (minor point):  
#8. Abbreviations should be spelled out first time,
>i.e. Body Mass Index (BMI), Waist Hip Ratio (WHR), CNY (?Chinese Yen, I assume) Methods, last para line 22 "not ?to? multicollinear?" what does that mean?  How was that assessed?  Was a statistical test applied?

Thank you for bringing this to our attention.  We have corrected this.  

Results:
#9. 5th para.  Typo in line 12? "Divorced/separated women had?"
Also in 5th para, please see above regarding the discussion of statistical interactions and the possible mechanisms.  Again, it is not clear to me from a mechanistic understanding why there should be an interaction between marital status and WHR for women (or, between marital status and age for men).  Thus, without greater explanation in the background or discussion,  I am concerned that the authors are committing Type I error.  (I would be less concerned if the p-value was much less than 0.05 or the 0.05 was divided by the number of interactions investigated, for example.)  Authors might wish to involve a biostatistician on this point.

We have removed results on the association of marital status and mortality by WHR from our revised manuscript both to address the reviewer concerns regarding the validity and interpretation of this analysis and to improve the clarity of our manuscript.


#10. Regarding the discussion of Table 5 - how was the determination made regarding marrying early and marrying late?  Was this based on a valid measure or previous literature or some internal assessment of the data such as division into tertiles?

We apologize for the confusion.  The determination regarding marrying early and marrying late was determined from previous literature:   Dupre ME, Beck AN, Meadows SO (2009) Marital trajectories and mortality among US adults. Am J Epidemiol 170:546-555.

#11. Discussion:  Overall a very comprehensive discussion.  As above, the manuscript would benefit from a better discussion of the mechanisms behind the WHR*marital status interaction for women and the age*marital status interaction for men.

Thank you for your comments and suggestions.  We have removed the analysis of WHR*marital status interaction.  



I. Reviewer #1 (Reviewer Comments to the Author):
This paper concerns the association between marital status and mortality in urban Shanghai in a very large sample of men and women. It is important that this association is investigated in non-Western societies under rapid development. Earlier studies have found a relatively strong association between being not married and increased mortality especially among men. It is therefore interesting and important to study the same association in an Asian context.

The paper is based on a large material, the analyses seem properly performed and the findings are relatively clearly described. I have however a number of comments, suggestions and questions which I think need clarification.

Major comments:
#1. Although the authors refer to a previous publication on this cohort, I find it crucial to know how this population was selected. Was it a random sample or is it selected in any way?

We have clarified the selection process under the 'Methods – Study participants' section' (please see above comments to Reviewer 1's Question 6) .
Women:  Seven study communities were selected on the basis of their similarity with respect to disease rates and demographic characteristics in urban Shanghai.  Between 1997 and 2000, all females aged 40-70 yrs, permanent residents in the study communities, were approached in their homes by local community health workers and study staff to evaluate interest in study participation.  Interested women then provided consent and were scheduled for a second study visit in order to collect questionnaires, conduct an interview and obtain anthropometric measures and biologic samples.  Of the xxxeligible women approached, xxxxxxxxx women enrolled in the study.  Of these, 279 were found to be outside the 40-70 year age range and were excluded.  Hence only xxxxxxxx women remained to form the longitudinal study.  
Men:  Similar to women, eight communities were selected on the basis of their similarity with respect to disease rates and demographic characteristics in urban Shanghai.  Between 2001 and 2006, permanent residents, all men aged 40-74 years were approached in their homes by local community health workers and study staff to evaluate interest in study participation.  

#2. The mortality in this cohort with a mean follow-up time of 11 years is surprisingly low in this age group 40-70 years. Only 5.5% of the women die during follow-up and even fewer males (3.0%). Is that a mortality representative of the general urban population in these age groups in Shanghai or do you work with a selected (healthy?) cohort. Is it plausible that male mortality is lower than female mortality in general? How was the age distribution of your material? This low mortality contributes to the power problems of the causespecific mortality analyses despite the enormous material (~75.000 women and ~52.000 men). I would like to see a table describing the distribution of mortality by gender and age groups.
However, the average age in Shanghai is relatively high.  The average life span of the city's residents was 82.13 years in 2010, as per the 2010 census.  Average lifespan:  males 79.82; females 84.44.  Furthermore,  male mortality should be lower in this study compared to the women because a) shorter follow-up time and b) men with baseline cancer were automatically excluded from the cohort.  
XXXXXXXXXXXXXXXXXXXXXXXXXXX

#3. A large number of covariates are included in the analyses. However, the authors do not indicate how these covariates are treated i.e. if they are viewed as confounders, mediators or effect modifiers (although the stratify analyses by gender, age and waist/hip ratio which suggests that the authors think of these covariates as potential modifiers). Furthermore, it seems inadequate to adjust for both education, income and occupation, I think the authors should reflect on which of these they think are the most plausible confounder of the association under investigation. Measures of health behaviour are in this context usually viewed as possible mediators, wherefore they should not be adjusted for. Why do the authors control for HRT treatment and menopause status? Do the authors assume that HRT treatment is a cause of marital status - and thereby a potential confounder? The same question holds for menopause status, it should only be included if the authors think/describe why they think menopause status is a cause of marital status, and thereby a possible confounder. All analyses are adjusted for measures of chronic disease. I would suggest that the authors exclude individuals with a chronic disease at baseline to avoid risk of health selection, alternatively that the step where adjustment for chronic disease is introduced is described separately.

We selected a priori baseline characteristics that have been shown to be associated with marital status and/or mortality or were factors of interest as potential confounding factors from the baseline survey.  Furthermore, we did a bi-variate analysis looking at the association between each selected baseline characteristic with marital status and mortality.
These methods have been clarified in the Methods section (Statistical Analysis, paragraph 3, sentences 3-4 and sentences 13-18).

#4. How were covariates distributed on mortality?

As requested, the following table describes how baseline characteristics were distributed on mortality.
XXXXXXXXXXXXXXXXXXXXXXXXXXXX  
#3. In the introduction the authors mention the selection theory, but this theory is never discussed later. How does (health)selection affect your results?

We have added into the discussion how we adjusted for health selection by adjusting for baseline chronic disease in our regression model.   Due to the age range of our cohort members, many had chronic illnesses at baseline as evidenced by table 1.  As a result, we made an attempt to control/adjust for baseline chronic disease by adding it into our model. However, a weakness to our study is that we can not fully exclude that health selection did not impact our results.  

#6. A rather large number of Scandinavian studies have studied the association between marital status and mortality I think reference to some of this literature is needed.

During the literature review, we reviewed many of the Scandinavian studies.  However, we may have removed them as an attempt to limit our references.  We apologize for this error and have added some of the most current Scandinavian studies on marital status and mortality to the Introduction.
We have added 3 references:
Discussion section, paragraph 4, 1 reference; Introduction section, paragraph 2, 2 references.  

#7. Please replace 'single' with 'never married' throughout the manuscript, it is far more easy to understand than single status.

Thank you for bringing this to our attention.  We have corrected for this.  

#8. In the results section a more systematic presentation could be applied. In all tables women are mentioned first, please also present results for women first and then the male results.
Thank you for bringing this to our attention.  We have corrected for this.  

#9. In table 3 I do not agree that the association is not seem for  younger women who are not married, the association is close to significant and in the same direction as for older women. The only real suggestion of effect modification by age (NOT WHR as stated in the table header) is for divorced/separated women. For men there is also only small signs of an age effect, also these analyses are hampered by low numbers(few cases) in several places.

Thank you for bringing this error to our attention. We have changed WHR in the header to age.  Also, in the results section, we explain that the associations, although in the same directions as for older women, were not of statistical significance in younger women.  Additionally, we have corrected our Discussion section to indicate the the small number of cases is a weakness in our study.   

#10. Why do the authors think that waist-hip ratio is an effect modifier of the association? The results in table 4 only show weak signs of that, again low power makes it difficult to draw firm conclusions.

We have removed these results and table 4 to address both reviewer 1's and your concern.   


#11.. The results in table 5 are never discussed I think these results could be omitted.

Thank you for bringing this to our attention.  I have added a discussion of table 5 under 'Methods – statistical analysis, paragraph 4' and in 'Results, paragraph 9'

#12. I think the authors should make a clearer resumé of their main findings in the Discussion section As mentioned above a discussion of health selection is missing in the Discussion section. I also find the main conclusions throughout the Discussion to be confusing. Are both genders affected by marital status or are there gender differences? Is divorce the most serious risk factor?

Our findings suggest that both Chinese men and women benefit from marriage.  However, the magnitude of association was found to be greater in men than in women.  We have added clarification in 'Discussion, paragraph 1 and 3.'  Furthermore, we have removed the results regarding WHR interaction to remove any confusion and concerns.  

#13. The abstract needs clarification e.g. the age span of the population under investigation is not mentioned here, and the precise categorization of marital status is not clear, which makes it a bit difficult to read the results section of the abstract.
Thank you for bringing this to our attention.  We apologize for the error and have corrected it.  

#14. If divorce rates are increasing in Shanghai, I would recommend the authors to further pinpoint the results related to divorce.
We apologize if the results were not clear.  Results related to divorce are discussed in the Discussion section (Paragraph 5).  

Minor comment

#15. Tea drinking is mentioned in table 1 and never again, should probably be omitted. It is however, puzzling that only between 26 and 32% of the included women have ever tried to drink tea, is that plausible?
We have removed this from table 1.  Thank you for bringing this to our attention.  

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小猪会飞 发表于 2011-12-19 18:56:18 | 显示全部楼层
非常感谢分享,对我这样初写文章者非常有用。。。
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小猪会飞 发表于 2011-12-22 18:38:56 | 显示全部楼层
楼主有木有觉得现在编辑对统计学效能的要求严格了,都要求文章里面必须说明计算的检验效能了。。。

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期待贴出或分享审稿意见或经验,加分的哟  发表于 2011-12-22 20:05
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 楼主| ywshui 发表于 2011-12-22 20:00:56 | 显示全部楼层
本帖最后由 ywshui 于 2011-12-22 20:25 编辑


作为一名流行病与卫生统计专业的研究者,我觉得不光是基本的统计方法(如U,t,ANOVA,Chi-square,linear,logistic,cox等等)的合理运用要做出表率,对于医学新统计方法的探索和推广更应该做点事情;
而对于临床或其它基础专业的稿件,对于比较好一点的杂志有专门的统计咨询编辑。而审稿人,尤其是国外的某些审稿人,他们的统计水平确实比较高的,而且一些杂志专门对稿子的统计方法要求作者咨询统计专家,因此你可以看国外比较大的科学团队他们有专门的统计成员或顾问(很有意思的是有些美国人居然还雇佣文学专业的硕士或学士作给稿件润色,我很佩服他们对科学的一丝不苟和精益求精的精神)。陶瓷国一定要学习改善,至少要在投稿之前找统计专业的研究者看一下。
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小猪会飞 发表于 2011-12-28 20:57:37 | 显示全部楼层
是的哦,不过我觉得确实很多时候都没有对统计效能,样本量这些指标有明确的计算说明,因此,在审稿的时候经常会遇到要求明确的这些计算值。
审稿人对我的意见其中一条就是指统计学效能,尤其针对样本量不足的情况下。我表示很为难。。。
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 楼主| ywshui 发表于 2011-12-28 21:14:04 | 显示全部楼层
小猪会飞 发表于 2011-12-28 20:57
是的哦,不过我觉得确实很多时候都没有对统计效能,样本量这些指标有明确的计算说明,因此,在审稿的时候经 ...

效能的计算是假定的,体现在设计阶段:比如要检查出真实的OR=1.2,检验水准为0.05时,设计所需的样本量,好的研究在设计时就应该考虑的,而不是等到课题结题之后,这是一点;

其次,当研究出现阴性结果时,审稿人就会怀疑是不是样本量导致的power不够以至于不能检出真实的阳性的结果,而要求你计算power,还有就是即使出现阳性结果,你的样本量很少,那么这个阳性结果是不是由于机遇(流行病学上叫chance)所致,而要求你计算power。

不管是哪一种,效能的计算都是假定的,作者应该事先知道联系的效应的大体范围是多少,在设计的时候一并考虑,如我的研究知道两者的联系大致在(OR)1.3-2.1之间,那么我想power在0.75-0.9之间大致需要多少样本,这样在回答审稿人的时候就有底气了,即拿出你事先设计好的方案就行了。
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xymacq 发表于 2012-1-18 10:29:38 | 显示全部楼层
ywshui 发表于 2011-12-28 21:14
效能的计算是假定的,体现在设计阶段:比如要检查出真实的OR=1.2,检验水准为0.05时,设计所需的样本量, ...

我的一点看法:设计阶段我们需要根据假定的power来计算样本量,但在结果出来以后,一般reviewe也r会让你根据你自己的效应变量值(OR, RR)来计算你的power值,就像楼上说的,如果是隐形结果,我们就可能怀疑是power不够造成的假阴性,如果是阳性,我们要考虑是否是机遇引起的假阳性。

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