Evidence map›Paper›PMID 34929052›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2022

Evaluation of the American College of Surgeons National Surgical Quality Improvement Program Risk Calculator to predict outcomes after hysterectomies.

Sara Hamade, Jonia Alshiek, Pouya Javadian, Sushma Ahmed, Francine N McLeod, S Abbas Shobeiri

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Sara HamadeDepartment of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
Jonia AlshiekDepartment of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
Pouya JavadianDepartment of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
Sushma AhmedDepartment of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
Francine N McLeodDepartment of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
S Abbas ShobeiriDepartment of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church, Virginia, USA.
Inova Fairfax Hospital · USHillel Yaffe Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the American College of Surgeons (ACS) surgical risk calculator's reliability in predicting outcomes in hysterectomies.

methodsThis is a prospective cohort study at a large community-based hospital. Twenty-one preoperative and postoperative criteria were abstracted from the electronic medical record and entered into the online ACS calculator to determine a risk score. Logistical regression was used to determine the association between risk score and actual outcome. The prediction capability was analyzed with c-statistic, Hosmer-Lemeshow, and Brier score.

resultsA total of 634 hysterectomies were performed during the study period from January to April 2019. Patients were predominantly 55 years old, white (53%) and overweight (body mass index 30). Predicted perioperative adverse events were significantly higher than actual adverse events across all domains. In all, 54/634 (8.5%) patients experienced postoperative urinary tract infection. C-statistics for return to operating room, renal failure, and readmission were 0.607 (95% C Statistic index [CI] 0.370-0.845), 0.882 (95% CI 0.802-0.962), 0.637 (95% CI 0.524-0.750), respectively. Brier scores approached one in all categorical domains.

conclusionThe ACS surgical risk calculator holds the promise of predicting postoperative complications or length of stay for patients undergoing hysterectomy. Further adjustment to this tool is required before it can be advocated for use in the clinical setting.

Indexed as

Quality ImprovementSurgeonsFemaleHumansHysterectomyMiddle AgedPostoperative ComplicationsProspective StudiesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsUnited Statesgynecologic surgeryhysterectomyperioperative outcomesshared decision makingsurgical risk calculator

Identifiers

PMID34929052
OpenAlexW4200594826

What Socratic 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 Socratic graph.