Evidence map›Paper›PMID 42905645›Full record

ArticlePloS one2026

Routinely available perioperative variables and EHR-captured postoperative adverse-event indicators after adult abdominal surgery: A retrospective cohort study using MOVER EPIC.

Anqi Shi, Xinyue Cui, Hanling Zheng, Yifan Li

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Anqi ShiDepartment of General Surgery, Traditional Chinese Medicine Hospital of Qingbaijiang Affiliated to Chengdu Medical College, Chengdu, China.
Xinyue CuiDepartment of International Research Collaboration, Sichuan Global Zhongsen Tanke Technology Co., Ltd., Chengdu, China.ORCID https://orcid.org/0009-0000-1839-4085
Hanling ZhengDepartment of General Surgery, Sichuan Provincial First Veterans Hospital, Chengdu, China.
Yifan LiFaculty of Clinical Medical College, Chengdu Medical College, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerioperative electronic health record (EHR) datasets are increasingly used to study postoperative morbidity, although database-recorded adverse-event indicators may not correspond to standardized complication endpoints. We characterized these indicators after adult abdominal surgery in MOVER EPIC and examined associations with routinely available perioperative variables.

methodsThis retrospective cohort study identified adult abdominal surgical encounters from 2017-2022 through procedure-name screening and case-level deduplication. The primary outcome was a broad composite of EHR-captured postoperative adverse-event indicators recorded within the indexed perioperative encounter. The secondary outcome was a narrower composite of severe EHR-captured adverse-event indicators. Multivariable logistic regression was performed in the primary complete-case cohort, adjusting for age, sex group, ASA physical status, procedure group, and operating-room duration. Sensitivity analyses included ASA-excluded models, alternative duration specifications, first-encounter restriction, penalized regression, patient-level cluster-robust inference, and inverse probability weighting (IPW).

resultsAmong 5,679 encounters, the broad composite occurred in 166 (2.92%), the narrow severe composite in 95 (1.67%), and death in 23 (0.40%). In the primary complete-case cohort (n = 5,349; 147 broad events), ASA IV + was strongly associated with the broad composite compared with ASA III (adjusted OR 4.66, 95% CI 2.92-7.45; p < 0.001). Laparotomy/adhesiolysis was also associated with higher odds (OR 1.79, 95% CI 1.02-3.13; p = 0.041), whereas spline analyses suggested modest nonlinearity in the age association; operating-room duration was not independently associated. IPW estimates were materially similar, although the estimate for ASA I-II was less precise.

conclusionsClinician-assigned ASA physical status was the most consistent correlate of EHR-captured postoperative adverse-event indicators. ASA may reflect comorbidity burden and perceived perioperative vulnerability rather than directly measuring physiological reserve. These findings should not be interpreted as standardized 30-day postoperative complication risks.

Indexed as

AbdomenElectronic Health RecordsPostoperative ComplicationsAdultAgedFemaleHumansMaleMiddle AgedPerioperative PeriodRetrospective Studies

Identifiers

PMID42905645
PMCPMC13686507

What OpenQuestion holds

Textmetadata
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.