Evidence map›Paper›PMID 38077013›Full record

ArticleResearch square2023

Social Vulnerability and Surgery Outcomes: A Cross-sectional Analysis.

Mohamed Abdelhack, Sandhya Tripathi, Yixin Chen, Michael S Avidan, Christopher R King

Abstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mohamed AbdelhackDepartment of Anesthesiology, Washington University School of Medicine, St. Louis MO.
Sandhya TripathiDepartment of Anesthesiology, Washington University School of Medicine, St. Louis MO.
Yixin ChenDepartment of Computer Science, Washington University in St. Louis, St. Louis MO.
Michael S AvidanDepartment of Anesthesiology, Washington University School of Medicine, St. Louis MO.
Christopher R KingDepartment of Anesthesiology, Washington University School of Medicine, St. Louis MO.

Funding

Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST)R21HS024581 · AHRQ · WASHINGTON UNIVERSITY · PI AVIDAN, MICHAEL SIMON · 2017 to 2018
$300k
AHRQ HHS R21 HS024581NCATS NIH HHS KL2 TR002346
6 · The paper itself

Abstract

Background: Post-operative complications present a challenge to the healthcare system due to the high unpredictability of their incidence. However, the socioeconomic factors that relate to postoperative complications are still unclear as they can be heterogeneous based on communities, types of surgical services, and sex and gender. Methods: In this study, we conducted a large population cross-sectional analysis of social vulnerability and the odds of various post-surgical complications. We built statistical logistic regression models of postsurgical complications with social vulnerability index as the independent variable along with sex interaction. Results: We found that social vulnerability was associated with abnormal heart rhythm with socioeconomic status and housing status being the main association factors. We also found associations of the interaction of social vulnerability and female sex with an increase in odds of heart attack and surgical wound infection. Conclusions: Our results indicate that social vulnerability measures such as socioeconomic status and housing conditions could be related to health outcomes. This suggests that the domain of preventive medicine should place social vulnerability as a priority to achieve its goals.

Indexed as

housing statuspostsurgical complicationssex interactionSocial vulnerabilitysocioeconomic status

Identifiers

PMID38077013
PMCPMC10705703

What OpenQuestion holds

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LicenceCC BY
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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.