Evidence map›Paper›PMID 37181545›Full record

ArticleSurgery open science2023

Identifying the origin of socioeconomic disparities in outcomes of major elective operations.

Catherine G Williamson, Shannon Richardson, Shayan Ebrahimian, Elsa Kronen, Arjun Verma, Peyman Benharash

Abstract read
In one paragraph

Article in Surgery open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Catherine G WilliamsonCardiovascular Outcomes Research Laboratories (CORELAB), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Shannon RichardsonCardiovascular Outcomes Research Laboratories (CORELAB), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Shayan EbrahimianCardiovascular Outcomes Research Laboratories (CORELAB), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Elsa KronenCardiovascular Outcomes Research Laboratories (CORELAB), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Arjun VermaCardiovascular Outcomes Research Laboratories (CORELAB), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Peyman BenharashCardiovascular Outcomes Research Laboratories (CORELAB), David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While the impact of socioeconomic status (SES) on surgical outcomes has been examined in limited series, it remains a significant determinant of healthcare outcomes at the national level. Therefore, the current study aims to determine SES disparities at three time-points: hospital accessibility, in-hospital outcomes, and post-discharge consequences. Methods: The Nationwide Readmissions Database 2010-2018 was used to isolate major elective operations. SES was assigned using previously coded median income quartiles as defined by patient zip-code, with Results: Of an estimated 4,816,837 patients undergoing major elective operations, 1,037,689 (21.3 %) were categorized as Conclusion: This study fills a much-needed gap in the current literature by establishing that all of the aforementioned timepoints include significant disadvantages for those of low socioeconomic status. Therefore, a multidisciplinary approach may be required for intervention to improve equity for surgical patients.

Indexed as

DisparitiesNationwide readmissions databaseSocioeconomic statusSurgical outcomes

Identifiers

PMID37181545
PMCPMC10173262

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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.