Evidence map›Paper›PMID 41890514›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2026

An Assessment of Hospital Performance in Emergency General Surgery Using Direct and Indirect Standardization.

Drew W Goldberg, Luke Keele, Chris Wirtalla, James Sharpe, Jacob Walker Rosenthal, Elinore Kaufman, Rachel R Kelz

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2026. 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

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.

Drew W GoldbergFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.
Luke KeeleFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.
Chris WirtallaFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.
James SharpeFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.
Jacob Walker RosenthalFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.
Elinore KaufmanFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.
Rachel R KelzFrom the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.

Funding

Personalized Provider Selection to Reduce Surgical DisparitiesR01MD016088 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI Rachel Kelz · 2022 to 2026
$3.2M
Using Outcomes to Guide Treatment of Surgical EmergenciesR01AG060612 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KELZ, RACHEL · 2019 to 2023
$2.7M
NIA NIH HHS R01 AG060612NIMHD NIH HHS R01 MD016088
6 · The paper itself

Abstract

Objective: The goal of this study was to assess 2 analytic strategies for comparing hospital outcomes among those with emergency general surgery (EGS) conditions, comparing a conventional risk stratification method with a less utilized, but equally informative strategy. Background: EGS is a complex set of heterogeneous, time-sensitive conditions that require expeditious treatment. Patients need a mechanism to evaluate how hospitals perform for similar populations treated within the hospital and a reliable metric that benchmarks outcomes across institutions. Methods: We performed a retrospective cohort study assessing hospital outcomes for EGS Medicare beneficiaries from July 1, 2015, to June 30, 2018. Using direct standardization with balancing weights and indirect standardization with logistic regression, we compare hospital performance on a risk-adjusted composite adverse event rate. Performance based on each standardization modality was correlated using the Spearman rank coefficient. Results: There were 536,284 patients with a median (interquartile interval) age of 74.2 (72.9, 75.6) years treated at 1866 study hospitals. Direct and indirect standardization showed agreement on 92 low- and 76 high-performing hospitals. Adverse event rates for hospital rankings were strongly correlated between the 2 methods of standardization (0.83, Conclusions: Significant variation exists in EGS outcomes. Hospital performance is inconsistent between operative and nonoperative treatment. A small number of hospitals can be distinguished based on risk-adjusted outcomes regardless of analytic technique, suggesting opportunities for optimized care standardization and quality improvement.

Indexed as

emergency general surgeryoutcomes researchquality improvementstatistical methods

Identifiers

PMID41890514
PMCPMC13016195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.