Evidence map›Paper›PMID 40046153›Full record

ArticleThe Brown journal of hospital medicine2023

Patterns of Surgical Risk Assessment at a Tertiary Academic Medical Center.

John P Murray, Sandeep Tummala, Thomas Chen, Daniel Aldrich, Alex Reisner, Shannon K Martin

Abstract read
In one paragraph

Article in The Brown journal of hospital medicine, 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

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.

John P MurrayDepartment of Hospital Medicine University of Chicago.ORCID https://orcid.org/0000-0003-4041-6679
Sandeep TummalaDepartment of Hospital Medicine University of Chicago.
Thomas ChenDepartment of Hospital Medicine University of Chicago.ORCID https://orcid.org/0000-0001-8640-0248
Daniel AldrichDepartment of Hospital Medicine University of Chicago.
Alex ReisnerDepartment of Hospital Medicine University of Chicago.
Shannon K MartinDepartment of Hospital Medicine University of Chicago.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Review preoperative risk stratification encounters performed by a hospital medicine consult service at a tertiary academic medical center to better characterize practice patterns and evaluate the need to standardize our approach to risk assessment. Methods: Retrospective chart review of 200 randomly selected patients representing approximately 40% of all patients seen by the hospital medicine consult service from 2019-2020. Results: Of the 200 charts reviewed, there were 71 preoperative risk assessments performed and 8 distinct approaches utilized. The most common risk stratification tool used was the Revised Cardiac Risk Index (RCRI), followed by the American College of Surgeons-Surgical Risk Calculator (ACS-SRC) and then the Gupta Myocardial Infarction and Cardiac Arrest calculator. 19 encounters (27%) used multiple risk stratification tools, while 11 encounters (15%) were not consistent with American College of Cardiology/American Heart Association guidelines. Conclusion: Significant heterogeneity exists within preoperative risk stratification practices in this single-center study. Follow-up work remains to promote standardization in approach and documentation.

Indexed as

ACS-SRCcardiac complicationsHospital medicineMACEPerioperative MedicinePreoperative Risk StratificationRCRI

Identifiers

PMID40046153
PMCPMC11878860

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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.