Evidence map›Paper›PMID 31383349›Full record

ArticleAmerican journal of surgery2020

Beyond demographics: Missing sociodemographics in surgical research.

Kathryn M Stadeli, Mariam N Hantouli, Elena G Brewer, Elizabeth Austin, Kemi M Doll, Danielle C Lavallee, Giana H Davidson

Abstract read
In one paragraph

Article in American journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kathryn M StadeliDepartment of Surgery, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States. Electronic address: stadeli@uw.edu.
Mariam N HantouliDepartment of Surgery, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States. Electronic address: hantouli@uw.edu.
Elena G BrewerDepartment of Surgery, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States. Electronic address: ebrewer@uw.edu.
Elizabeth AustinDepartment of Surgery, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States. Electronic address: austie@uw.edu.
Kemi M DollDepartment of Obstetrics and Gynecology, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States; Seattle Cancer Care Alliance, 825 Eastlake Ave E, PO Box 19023, Seattle, WA, 98109, United States. Electronic address: kdoll@uw.edu.
Danielle C LavalleeDepartment of Surgery, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States; Department of Health Services, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, United States. Electronic address: lavallee@uw.edu.
Giana H DavidsonDepartment of Surgery, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, United States; Department of Health Services, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, United States. Electronic address: ghd@uw.edu.

Funding

Renewal: Gastrointestinal Surgery Outcomes Research FellowshipT32DK070555 · NIDDK · UNIVERSITY OF WASHINGTON · PI FLUM, DAVID R · 2010 to 2024
$3.6M
NIDDK NIH HHS T32 DK070555
6 · The paper itself

Abstract

introductionReporting sociodemographic data in research is critical to describe participants, and to identify contributing factors for patient experience, outcomes and heterogeneity of treatment effect (HTE). Social determinants of health and clinical health characteristics are important drivers of outcomes, and prospective studies collecting participant-reported data offer an opportunity to report these sociodemographics and evaluate for associations with outcomes. Clinical trials have underreported these factors previously, but reporting has not been examined in surgical research.

methodsWe reviewed prospective studies collecting participant-reported sociodemographic data from four surgical journals in 2016. The proportion of studies reporting variables of interest in "Table 1" is described. Variables included information on patient identity (e.g., age, sex), clinical health (e.g., disease-specific characteristics, BMI), individual-level (e.g., education, income) and interpersonal-level (e.g., marital status, support) risk factors.

resultsForty-one publications met inclusion criteria. All reported ≥1 patient identity variable, 93% reported ≥1 clinical characteristic, 63% reported ≥1 individual-level risk factor, and 7% reported an interpersonal-level risk factor. Age, sex, and disease-specific characteristics were reported most commonly (98%, 98%, 88% respectively). 40% of studies reported comorbidities, though <15% reported on mental health. 50% reported race, 27% reported ethnicity, 24% reported education level, and 22% reported functional status. Other examined factors were reported in <20% of publications. DISCUSSION: Sociodemographics reported in these surgical journals may be insufficient to describe the participants studied. This highlights an opportunity for the surgical research community to develop consensus on reporting of important sociodemographics that may be drivers of patient experience, outcomes and HTE.

Indexed as

Biomedical ResearchDemographyPeriodicals as TopicResearch DesignSpecialties, SurgicalHumansPublishingSocial Determinants of Health

Identifiers

PMID31383349
PMCPMC6986997

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.