Evidence map›Paper›PMID 37449024›Full record

ArticleJournal of orthopaedics2023

Comparing surgeon perception to publicly reported data using NSQIP.

Carl Edge, Jonathan Widmeyer, Hailey Hampton, James Satalich, Dallas Hampton, Alexander Vap, Gregory Golladay

Open access · greenAbstract read
In one paragraph

Article in Journal of orthopaedics, 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
0.2field-weighted citation impact, top 44% of its field
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 citations in OpenAlex.

  1. NSQIP data collection up to 30 postoperative days is sufficient to capture some complications in orthopedic surgeries.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    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

7 authors at 2 institutions in 1 country.

Carl EdgeDepartment of Orthopaedic Surgery, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA.
Jonathan WidmeyerVirginia Commonwealth University Medical School, Richmond, VA, 23219, USA.
Hailey HamptonVirginia Commonwealth University Medical School, Richmond, VA, 23219, USA.
James SatalichDepartment of Orthopaedic Surgery, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA.
Dallas HamptonEastern Virginia Medical School, Norfolk, VA, 23507, USA.
Alexander VapDepartment of Orthopaedic Surgery, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA.
Gregory GolladayDepartment of Orthopaedic Surgery, Virginia Commonwealth University Health System, Richmond, VA, 23219, USA.
Virginia Commonwealth University · USEastern Virginia Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Past studies have demonstrated that surgeons' perceptions of their own postsurgical complications may not be accurate. The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database is a nationally validated, risk-adjusted, outcomes-based program created to measure and improve the quality of surgical care. Using information acquired through survey data, the purpose of this study is to determine how surgeons' perceptions of their own postoperative complications rates compare to the NSQIP database that tracks these outcome metrics. Hypothesis/purpose: We hypothesize that surgeons underestimate their rates of morbidity, readmission, and reoperation within thirty days postoperatively when compared to NSQIP data. Study design: Data elements such as perceived morbidity, readmission, and reoperation were collected through surveys distributed at a large level one trauma center. Survey respondents were asked how their rates compared to their peers and physician survey responses were then compared to institutional NSQIP data. Results: 87.5% of surgeons underestimated their rates of morbidity, 35.4% underestimated their rates of readmission, 22.9% underestimated their rates of reoperation. When comparing themselves to their departmental averages, 57.78% accurately estimated their morbidity rates, 75.56% accurately estimated readmission rates, and 86.67% accurately estimated reoperation rates. Conclusion: Surgeons are poor predictors of individual 30-day postoperative complication rates including morbidity, readmission, and reoperation. However, surgeons are more accurate in estimating these same outcomes when asked to compare to the average of their department.

Indexed as

MorbidityNSQIPPerceptionPostoperative outcomes

Identifiers

PMID37449024
PMCPMC10338147
OpenAlexW4382051568

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.