Evidence map›Paper›PMID 38928323›Full record

ArticleInternational journal of molecular sciences2024

The Impact of Polymerase Chain Reaction Urine Testing on Clinical Decision-Making in the Management of Complex Urinary Tract Infections.

Julia Elia, Jason Hafron, Mara Holton, Connor Ervin, Mitchell B Hollander, Deepak A Kapoor

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
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.

Julia EliaMichigan Institute of Urology, St. Clair Shores, MI 48081, USA.
Jason HafronMichigan Institute of Urology, St. Clair Shores, MI 48081, USA.
Mara HoltonSolaris Health Holdings, Ft. Lauderdale, FL 33394, USA.
Connor ErvinPRISM Vision Group, Baltimore, MD 21201, USA.
Mitchell B HollanderMichigan Institute of Urology, St. Clair Shores, MI 48081, USA.
Deepak A KapoorSolaris Health Holdings, Ft. Lauderdale, FL 33394, USA.ORCID 0000-0001-9727-1752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While urinary polymerase chain reaction (PCR) testing is effective in organism identification in patients with complex urinary tract infections (cUTI), limited data exists on the clinical usefulness of this test. We serially surveyed physicians treating symptomatic patients with cUTI both at presentation and after PCR, and urine culture (UC) results were available to ascertain how the test results modified the therapy. A total of 96 unique surveys completed by 21 providers were included in the data analysis. The mean age for female and male patients was 69.4 ± 15.5 and 71.6 ± 12.7 years, respectively. The test positivity and line-item concordance for UC and PCR were consistent with prior reports. The PCR results modified or confirmed treatment in 59/96 (61.5%) and 25/96 (26.0%) of the cases, respectively, with 12/29 (41.4%) and 47/67 (70.1%) having negative and positive PCR results, respectively, resulting in treatment change (difference 28.7%,

Indexed as

Clinical Decision-MakingPolymerase Chain ReactionUrinary Tract InfectionsAgedAged, 80 and overAnti-Bacterial AgentsFemaleHumansMaleMiddle AgedUrinalysisAnti-Bacterial Agentsclinical utilitypolymerase chain reactionurinary tract infectionsurinary tract infections managementurine culture

Identifiers

PMID38928323
PMCPMC11203880

What OpenQuestion holds

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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.