Evidence map›Paper›PMID 33961639›Full record

SynthesisPloS one2021

Diagnostic accuracy of point-of-care ultrasound for pulmonary tuberculosis: A systematic review.

Jacob Bigio, Mikashmi Kohli, Joel Shyam Klinton, Emily MacLean, Genevieve Gore, Peter M Small, Morten Ruhwald, Stefan Fabian Weber, Saurabh Jha, Madhukar Pai

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. The role of medical imaging in translational research into early pulmonary tuberculosis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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  12. Article
  13. Review
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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

10 authors at 6 institutions in 4 countries.

Jacob BigioResearch Institute of the McGill University Health Centre, Montreal, Canada.ORCID 0000-0003-2929-4252
Mikashmi KohliMcGill International TB Centre, Montreal, Canada.
Joel Shyam KlintonMcGill International TB Centre, Montreal, Canada.ORCID 0000-0003-4850-3961
Emily MacLeanMcGill International TB Centre, Montreal, Canada.ORCID 0000-0001-9272-0985
Genevieve GoreSchulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Canada.
Peter M SmallRenaissance School of Medicine at SUNY, Stony Brook, NY, United States of America.
Morten RuhwaldFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Stefan Fabian WeberDepartment of Infectious Diseases, University of Heidelberg, Heidelberg, Germany.
Saurabh JhaDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States of America.
Madhukar PaiMcGill International TB Centre, Montreal, Canada.
McGill University · CAFIND · CHHeidelberg University · DEHospital of the University of Pennsylvania · USMcGill University Health Centre · CAStony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of affordable, portable ultrasound devices has led to increasing interest in the use of point-of-care ultrasound (POCUS) for the detection of pulmonary TB (PTB). We undertook a systematic review of the diagnostic accuracy of POCUS for PTB. Five databases were searched for articles published between January 2010 and June 2020. Risk of bias was assessed using QUADAS-2. Data on sensitivity and specificity of individual lung ultrasound findings were collected, with variable reference standards including PCR and sputum smear microscopy. Six of 3,919 reviewed articles were included: five in adults and one in children, with a total sample size of 564. Studies had high risk of bias in many domains. In adults, subpleural nodule and lung consolidation were the lung ultrasound findings with the highest sensitivities, ranging from 72.5% to 100.0% and 46.7% to 80.4%, respectively. Only one study reported specificity data. Variability in sensitivity may be due to variable reference standards or may imply operator dependence. There is insufficient evidence to judge the diagnostic accuracy of POCUS for PTB. There is also no consensus on the optimal protocols for acquiring and analysing POCUS images for PTB. New studies which minimise potential sources of bias are required to further assess the diagnostic accuracy of POCUS for PTB.

Indexed as

Point-of-Care SystemsPoint-of-Care TestingUltrasonographyHumansSensitivity and SpecificityTuberculosis, Pulmonary

Identifiers

PMID33961639
PMCPMC8104425
OpenAlexW3159777712

What Socratic holds

Textmetadata
LicenceCC BY
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.