Evidence map›Paper›PMID 38842620›Full record

ArticleEmergency radiology2024

Volumetric computed tomography measurements as predictors for outcomes in a cohort of Fournier's gangrene patients.

Aravinda Ganapathy, David H Ballard, Favour Garuba, Adriene Lovato, Parisa Mazaheri, David Z Chen, McGinness Schneider, M Hunter Lanier, Obeid Ilahi, John P Kirby and 2 more

Abstract read
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In one paragraph

Article in Emergency radiology, 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Aravinda GanapathySchool of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA. davidballard@wustl.edu.ORCID http://orcid.org/0000-0001-7470-3364
Favour GarubaSchool of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Adriene LovatoMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA.
Parisa MazaheriMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA.
David Z ChenSchool of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
McGinness SchneiderSchool of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
M Hunter LanierMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA.
Obeid IlahiDepartment of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
John P KirbyDepartment of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Constantine A RaptisSchool of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Vincent M MellnickMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA.

Funding

National Institute of Health T32-EB021955
6 · The paper itself

Abstract

purposeThis study evaluates the prognostic value of CT findings, including volumetric measurements, in predicting outcomes for patients with Fournier gangrene (FG), focusing on mortality, ICU admission, hospital stay length, and healthcare costs.

methodsA retrospective study was conducted on 38 FG patients who underwent CT scans before surgical debridement. We analyzed demographic data, CT volumetric measurements, and clinical outcomes using logistic and linear regression models.

resultsNo single CT measurement significantly predicted mortality or ICU admission. The best model for mortality prediction included age, air volume, NSTI score, and male sex, with an AUC of 0.911. Intubation likelihood was modeled with an AUC of 0.913 using age, NSTI score, and visceral to subcutaneous fat ratio. The ICU admission model achieved an AUC of 0.677. Hospital stay was predicted by air volume (β = 0.0002656, p = 0.0505) with an adjusted R-squared of 0.1287. Air volume significantly predicted hospital costs (β = 2.859, p = 0.00558), resulting in an adjusted R-squared of 0.2165.

conclusionVolumetric CT findings provide valuable prognostic insights for FG patients, suggesting a basis for informed clinical decisions and resource allocation. Further validation in larger, multi-center studies is recommended to develop robust predictive models for FG outcomes.

Indexed as

Fournier GangreneLength of StayTomography, X-Ray ComputedAdultAgedAged, 80 and overDebridementFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesCT scanDebridementFournier’s GangreneNecrotizing FasciitisSurgery

Identifiers

PMID38842620

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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.