Dataset Information

Sex bias persists in surgical research: A 5-year follow-up study.

ABSTRACT:

Background

Federal initiatives have recently addressed the sex bias that exists in biomedical and clinical research. However, improvement to the inclusion of sex as a biological variable remains unknown.

Methods

We performed a 5-year follow-up study of all clinical and biomedical research articles published in 5 surgical journals from January 1, 2017, through December 31, 2018. Human, animal, and cell subjects were analyzed for study/subject type, sex of participants, sex matching, and sex-based data reporting, analysis, and discussion.

Results

Comparing 2017 to 2018 with 2011 to 2012, slightly more articles reported the sex of the human studied (87% vs 83%; P = .001). Inclusion of both sexes remained high (94% vs 95%; P = .22), but sex-based data reporting (36% vs 38%; P = .17), analysis (35% vs 33%; P = .39), and discussion of results (10% vs 23%; P < .0001) remained unchanged or worsened. Regarding animal research, the number of articles that stated the sex studied remained unchanged (79% vs 78%; P = .67); if stated, slightly more included both sexes (7% vs 3%; P = .002). Regarding cell research, fewer articles reported the sex of the cells studied (5% vs 24%; P = .0001); if stated, more articles included both sexes, but the difference did not reach statistical significance (25% vs 7%; P = .34). Sex matching remained poor with only 50% of human, 4% of animal, and 9% of cell studies matching the inclusion of both sexes by at least 50%.

Conclusion

Sex bias persists in surgical research. The majority of articles failed to report, analyze, or discuss results based on sex, which will negatively affect clinical translatability and outcomes of evidence-based medicine.

SUBMITTER: Mercel A

PROVIDER: S-EPMC9733431 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Publications

Sex bias persists in surgical research: A 5-year follow-up study.

Mercel Alexandra A Newton Emily R ER Marulanda Kathleen K Klein Mia M Helenowski Irene I Kibbe Melina R MR

Surgery 20210402 2

<h4>Background</h4>Federal initiatives have recently addressed the sex bias that exists in biomedical and clinical research. However, improvement to the inclusion of sex as a biological variable remains unknown.<h4>Methods</h4>We performed a 5-year follow-up study of all clinical and biomedical research articles published in 5 surgical journals from January 1, 2017, through December 31, 2018. Human, animal, and cell subjects were analyzed for study/subject type, sex of participants, sex matching ...[more]

PMID: 33814189

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Project description:Importance:Previous studies demonstrate sex bias in surgical research. Female participants and investigators are underrepresented in surgical scientific research. Objectives:To describe the distribution of male and female authors in 5 general-interest surgery journals, assess the association of author gender with sex bias, and explore whether investigators benefit from performing sex-inclusion research. Design, Setting, and Participants:For this bibliometric analysis, data were abstracted from 1921 original, peer-reviewed articles published from January 1, 2011, through December 31, 2012, in Annals of Surgery, American Journal of Surgery, JAMA Surgery, The Journal of Surgical Research, and Surgery. Excluded articles pertained to a sex-specific disease or did not report the number of study participants. An additional 119 articles contained gender-ambiguous author names and were omitted. Data were analyzed from April to June 2017. Main Outcomes and Measures:Male and female first and senior authors, number of female and male participants in each study, surgical specialty, and number of citations received per article. Results:Of the 3604 authors of 1802 articles included in this study, 2791 first and senior authors (77.4%) were male and 813 (22.6%) were female. The prevalence of male and female authors was consistent across all 5 journals and among clinical and basic science research. Articles by female authors included a higher median number of female study participants compared with their male counterparts (27.5 vs 16.0; P = .01), but sex matched the inclusion of participants less frequently (36% vs 45%; P = .001). No sex-based differences occurred between male and female authors in reporting, statistical analysis, and discussion of the data or in the number of citations received. Compared with studies that did not report, analyze, or discuss data by sex, studies that performed sex-specific data reporting yielded a mean of 2.8 more citations (95% CI, 1.2-4.4; P = .001); those that performed statistical analysis, a mean of 3.5 more citations (95% CI, 1.8-5.1; P = .001); and those that discussed the data, a mean of 2.6 more citations (95% CI, 0.7-4.5; P = .001). Articles with a higher percentage of sex matching of participants also received more citations, with an increase of 1 citation per 4.8% (95% CI, 2.0%-7.7%; P = .001) increase in percentage of sex matching. Conclusions and Relevance:Sex bias in surgical research is prevalent among male and female authors; however, female authors included proportionally more female participants in their studies compared with male authors. Notably, studies that addressed sex bias were rewarded by the scientific community with increased citations of their published work.

Project description:ImportanceSex is a variable that is poorly controlled for in clinical research.ObjectivesTo determine if sex bias exists in human surgical clinical research, to determine if data are reported and analyzed using sex as an independent variable, and to identify specialties in which the greatest and least sex biases exist.Design, setting, and participantsFor this bibliometric analysis, data were abstracted from 1303 original peer-reviewed articles published from January 1, 2011, through December 31, 2012, in 5 surgery journals.Main outcomes and measuresStudy type, location, number and sex of participants, degree of sex matching of included participants, and inclusion of sex-based reporting, statistical analysis, and discussion of data.ResultsOf 2347 articles reviewed, 1668 (71.1%) included human participants. After excluding 365 articles, 1303 remained: 17 (1.3%) included males only, 41 (3.1%) included females only, 1020 (78.3%) included males and females, and 225 (17.3%) did not document the sex of the participants. Although female participants represent more than 50% (n = 57 688 606) of the total number (115 377 213) included, considerable variability existed with the number of male (46 111 818), female (58 805 665), and unspecified (10 459 730) participants included among the journals, between US domestic and international studies, and between single vs multicenter studies. For articles included in the study, 38.1% (497 of 1303) reported these data by sex, 33.2% (432 of 1303) analyzed these data by sex, and 22.9% (299 of 1303) included a discussion of sex-based results. Sex matching of the included participants in the research overall was poor, with 45.2% (589 of 1303) of the studies matching the inclusion of both sexes by 50%. During analysis of the different surgical specialties, a wide variation in sex-based inclusion, matching, and data reporting existed, with colorectal surgery having the best matching of male and female participants and cardiac surgery having the worst.Conclusions and relevanceSex bias exists in human surgical clinical research. Few studies included men and women equally, less than one-third performed data analysis by sex, and there was wide variation in inclusion and matching of the sexes among the specialties and the journals reviewed. Because clinical research is the foundation for evidence-based medicine, it is imperative that this disparity be addressed so that therapies benefit both sexes.

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Project description:ObjectivesThis study aimed to characterise participants lost to follow-up and identify possible factors associated with non-participation in a prospective population-based study of respiratory health in Norway. We also aimed to analyse the impact of potentially biased risk estimates associated with a high proportion of non-responders.DesignProspective 5-year follow-up study.SettingRandomly selected inhabitants from the general population of Telemark County in south-eastern Norway were invited to fill in a postal questionnaire in 2013. Responders in 2013 were followed-up in 2018.Participants16 099 participants aged 16-50 years completed the baseline study. 7958 responded at the 5-year follow-up, while 7723 did not.Main outcome measuresχ2 test was performed to compare demographic and respiratory health-related characteristics between those who participated in 2018 and those who were lost to follow-up. Adjusted multivariable logistic regression models were used to assess the relationship between loss to follow-up, background variables, respiratory symptoms, occupational exposure and interactions, and to analyse whether loss to follow-up leads to biased risk estimates.Results7723 (49%) participants were lost to follow-up. Loss to follow-up was significantly higher for male participants, those in the youngest age group (16-30 years), those in lowest education level category and among current smokers (all p<0.001). In multivariable logistic regression analysis, loss to follow-up was significantly associated with unemployment (OR 1.34, 95% CI 1.22 to 1.46), reduced work ability (1.48, 1.35 to 1.60), asthma (1.22, 1.10 to 1.35), being woken by chest tightness (1.22, 1.11 to 1.34) and chronic obstructive pulmonary disease (1.81, 1.30 to 2.52). Participants with more respiratory symptoms and exposure to vapour, gas, dust and fumes (VGDF) (1.07 to 1.00-1.15), low-molecular weight (LMW) agents (1.19, 1.00 to 1.41) and irritating agents (1.15, 1.05 to 1.26) were more likely to be lost to follow-up. We found no statistically significant association of wheezing and exposure to LMW agents for all participants at baseline (1.11, 0.90 to 1.36), responders in 2018 (1.12, 0.83 to 1.53) and those lost to follow-up (1.07, 0.81 to 1.42).ConclusionThe risk factors for loss to 5-year follow-up were comparable to those reported in other population-based studies and included younger age, male gender, current smoking, lower educational level and higher symptom prevalence and morbidity. We found that exposure to VGDF, irritating and LMW agents can be risk factors associated with loss to follow-up. Results suggest that loss to follow-up did not affect estimates of occupational exposure as a risk factor for respiratory symptoms.

Dataset Information

Sex bias persists in surgical research: A 5-year follow-up study.

Background

Methods

Results

Conclusion

Publications

Sex bias persists in surgical research: A 5-year follow-up study.

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