Evidence map›Paper›PMID 34687927›Full record

ArticleJournal of minimally invasive gynecology2022

Development of a Preoperative Clinical Risk Assessment Tool for Postoperative Complications After Hysterectomy.

Payton C Schmidt, Neil S Kamdar, Elisabeth Erekson, Carolyn W Swenson, Shitanshu Uppal, Daniel M Morgan

Abstract read
In one paragraph

Article in Journal of minimally invasive gynecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study.International journal of environmental research and public health · 2022
    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

6 authors.

Payton C SchmidtDepartment of Obstetrics and Gynecology, University of Michigan, Ann Abor, Michigan. Electronic address: payton@med.umich.edu.
Neil S KamdarInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Abor, Michigan.
Elisabeth EreksonDepartment of Obstetrics and Gynecology, Dartmouth-Hitchcock, Lebanon, New Hampshire.
Carolyn W SwensonDepartment of Obstetrics and Gynecology, University of Michigan, Ann Abor, Michigan.
Shitanshu UppalDepartment of Obstetrics and Gynecology, University of Michigan, Ann Abor, Michigan.
Daniel M MorganDepartment of Obstetrics and Gynecology, University of Michigan, Ann Abor, Michigan.

Funding

University of Michigan WRHR Career Development ProgramK12HD065257 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FENNER, DEE ELLEN · 2010 to 2019
$3.4M
NICHD NIH HHS K12 HD065257
6 · The paper itself

Abstract

STUDY

objectiveTo develop a preoperative risk assessment tool that quantifies the risk of postoperative complications within 30 days of hysterectomy.

designRetrospective analysis.

settingMichigan Surgical Quality Collaborative hospitals. PATIENTS: Women who underwent hysterectomy for gynecologic indications.

interventionsDevelopment of a nomogram to create a clinical risk assessment tool. MEASUREMENTS AND MAIN

resultsPostoperative complications within 30 days were the primary outcome. Bivariate analysis was performed comparing women who had a complication and those who did not. The patient registry was randomly divided. A logistic regression model developed and validated from the Collaborative database was externally validated with hysterectomy cases from the National Surgical Quality Improvement Program, and a nomogram was developed to create a clinical risk assessment tool. Of the 41,147 included women, the overall postoperative complication rate was 3.98% (n = 1638). Preoperative factors associated with postoperative complications were sepsis (odds ratio [OR] 7.98; confidence interval [CI], 1.98-32.20), abdominal approach (OR 2.27; 95% CI, 1.70-3.05), dependent functional status (OR 2.20; 95% CI, 1.34-3.62), bleeding disorder (OR 2.10; 95% CI, 1.37-3.21), diabetes with HbA1c ≥9% (OR 1.93; 95% CI, 1.16-3.24), gynecologic cancer (OR 1.86; 95% CI, 1.49-2.31), blood transfusion (OR 1.84; 95% CI, 1.15-2.96), American Society of Anesthesiologists Physical Status Classification System class ≥3 (OR 1.46; 95% CI, 1.24-1.73), government insurance (OR 1.3; 95% CI, 1.40-1.90), and body mass index ≥40 (OR 1.25; 95% CI, 1.04-1.50). Model discrimination was consistent in the derivation, internal validation, and external validation cohorts (C-statistics 0.68, 0.69, 0.68, respectively).

conclusionWe validated a preoperative clinical risk assessment tool to predict postoperative complications within 30 days of hysterectomy. Modifiable risk factors identified were preoperative blood transfusion, poor glycemic control, and open abdominal surgery.

Indexed as

HysterectomyPostoperative ComplicationsFemaleHumansRetrospective StudiesRisk AssessmentRisk FactorsGynecologic surgeryPostoperative complicationsRisk assessment toolRisk factorsTool validation

Identifiers

PMID34687927
PMCPMC8917981

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Registered trials

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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.