Evidence map›Paper›PMID 33000077›Full record

ArticleJournal of the American College of Emergency Physicians open2020

Predicting outcome of patients with severe urinary tract infections admitted via the emergency department.

Steven G Rothrock, David D Cassidy, Brian Guetschow, Drew Bienvenu, Erich Heine, Joshua Briscoe, Nicholas Toselli, Michelle Russin, Daniel Young, Caitlin Premuroso and 2 more

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2020. 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. 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

12 authors.

Steven G RothrockDepartment of Emergency Medicine Orlando Health Dr. P. Phillips Hospital Orlando Florida USA.ORCID https://orcid.org/0000-0003-3528-662X
David D CassidyDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
Brian GuetschowDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
Drew BienvenuDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
Erich HeineDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
Joshua BriscoeDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
Nicholas ToselliUniversity of Central Florida College of Medicine Orlando Florida USA.
Michelle RussinUniversity of Central Florida College of Medicine Orlando Florida USA.
Daniel YoungDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
Caitlin PremurosoDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
David BaileyDepartment of Emergency Medicine Orlando Health Orlando Regional Medical Center Orlando Florida USA.
and ORMC Sepsis Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate clinical prediction tools for making decisions in patients with severe urinary tract infections (UTIs).

methodsThis was a retrospective study conducted at 2 hospitals (combined emergency department (ED) census 190,000). Study patients were admitted via the ED with acute pyelonephritis or severe sepsis-septic shock related UTI. Area under the receiver operating characteristic curve (AUROC) augmented by decision curve analysis and sensitivity of each rule for predicting mortality and ICU admission were compared.

resultsThe AUROC of PRACTICE was greater than that of BOMBARD (0.15 difference, 95% confidence interval [CI] = 0.09-0.22), SIRS (0.21 difference, 95% CI = 0.14-0.28) and qSOFA (0.06 difference, 95% CI = 0-0.11) for predicting mortality. PRACTICE had a greater net benefit compared to BOMBARD and SIRS at all thresholds and a greater net benefit compared to qSOFA between a 1% and 10% threshold probability level for predicting mortality. PRACTICE had a greater net benefit compared to all other scores for predicting ICU admission across all threshold probabilities. A PRACTICE score >75 was more sensitive than a qSOFA score >1 (90% versus 54.3%, 35.7 difference, 95% CI = 24.5-46.9), SIRS criteria >1 (18.6 difference, 95% CI = 9.5-27.7), and a BOMBARD score >2 (12.9 difference, 95% CI = 5-12.9) for predicting mortality.

conclusionPRACTICE was more accurate than BOMBARD, SIRS, and qSOFA for predicting mortality. PRACTICE had a superior net benefit at most thresholds compared to other scores for predicting mortality and ICU admissions.

Identifiers

PMID33000077
PMCPMC7493503

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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.