Evidence map›Paper›PMID 31907545›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Clinical Utility of Universal Broad-Range Polymerase Chain Reaction Amplicon Sequencing for Pathogen Identification: A Retrospective Cohort Study.

Andrew D Kerkhoff, Rachel L Rutishauser, Steve Miller, Jennifer M Babik

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  4. Review
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  14. Open forum infectious diseases · 2021
    Article
  15. Article
  16. Diagnostic Value of 16S Ribosomal RNA Gene Polymerase Chain Reaction/Sanger Sequencing in Clinical Practice.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Andrew D KerkhoffDivision of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, Department of Medicine, University of California, San Francisco, California, USA.
Rachel L RutishauserDivision of Experimental Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Steve MillerDepartment of Laboratory Medicine, University of California, San Francisco, California, USA.
Jennifer M BabikDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, California, USA.

Funding

Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
Dissecting the signals that maintain HIV-specific CD8+ T cell exhaustion - administrative supplementK23AI134327 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RUTISHAUSER, RACHEL LENA · 2018 to 2022
$1.1M
NIAID NIH HHS K23 AI134327NIAID NIH HHS T32 AI060530
6 · The paper itself

Abstract

We assessed the real-world utility of universal broad-range polymerase chain reaction sequencing for pathogen detection. Among 1062 clinical samples, 107/1062 (10.1%) had a clinically significant, positive result, with substantial variation by specimen type. Clinical management was changed in 44/1062 (4.1%). These data can help maximize utility of this emerging diagnostic.

Indexed as

Polymerase Chain ReactionHumansRetrospective StudiesSensitivity and Specificitybroad-range universal PCRDNA sequencingmolecular diagnosticspathogen identification

Identifiers

PMID31907545
PMCPMC7486847

What OpenQuestion 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 OpenQuestion graph.