Evidence map›Paper›PMID 41844446›Full record

ArticleSurgery2026

Do machine learning models add value in assessing operative stress?

Michael A Jacobs, Paula K Shireman, Jonathan C Silverstein, Daniel E Hall

Abstract read
In one paragraph

Article in Surgery, 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.

Michael A JacobsCenter for Healthcare Evaluation, Research, and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA.
Paula K ShiremanDepartments of Medical Physiology and Primary Care & Rural Medicine, College of Medicine, Texas A&M University, Bryan, TX.
Jonathan C SilversteinDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Daniel E HallCenter for Healthcare Evaluation, Research, and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA; Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA; Wolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA. Electronic address: hallde@upmc.edu.

Funding

Harnessing the power of CTSA-CDRN data networks: Using social determinants of health, frailty and functional status to identify at-risk patients and improve risk adjustmentU01TR002393 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHIREMAN, PAULA K · 2018 to 2021
$3.1M
CSRD VA I01 CX002150HSRD VA I01 HX003095HSRD VA I01 HX003215HSRD VA I01 HX003322HSRD VA I50 HX003201NCATS NIH HHS U01 TR002393
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41844446
PMCPMC13082668

What OpenQuestion holds

Textmetadata
LicenceTDM
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.