Evidence map›Paper›PMID 23349835›Full record

ArticlePloS one2013

Development of a simple reliable radiographic scoring system to aid the diagnosis of pulmonary tuberculosis.

Lancelot M Pinto, Keertan Dheda, Grant Theron, Brian Allwood, Gregory Calligaro, Richard van Zyl-Smit, Jonathan Peter, Kevin Schwartzman, Dick Menzies, Eric Bateman and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Development and Validation of the Tuberculosis Risk Score for Smokers (TBRSS).International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 4 institutions in 2 countries.

Lancelot M PintoRespiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute, Montreal, Québec, Canada.
Keertan Dheda
Grant Theron
Brian Allwood
Gregory Calligaro
Richard van Zyl-Smit
Jonathan Peter
Kevin Schwartzman
Dick Menzies
Eric Bateman
Madhukar Pai
Rodney Dawson
University of Cape Town · ZAMcGill University · CASouth African Tuberculosis Vaccine Initiative · ZAMontreal Heart Institute · CA

Funding

Canadian Institutes of Health Research MOP-89918
6 · The paper itself

Abstract

rationaleChest radiography is sometimes the only method available for investigating patients with possible pulmonary tuberculosis (PTB) with negative sputum smears. However, interpretation of chest radiographs in this context lacks specificity for PTB, is subjective and is neither standardized nor reproducible. Efforts to improve the interpretation of chest radiography are warranted.

objectivesTo develop a scoring system to aid the diagnosis of PTB, using features recorded with the Chest Radiograph Reading and Recording System (CRRS).

methodsChest radiographs of outpatients with possible PTB, recruited over 3 years at clinics in South Africa were read by two independent readers using the CRRS method. Multivariate analysis was used to identify features significantly associated with culture-positive PTB. These were weighted and used to generate a score.

results473 patients were included in the analysis. Large upper lobe opacities, cavities, unilateral pleural effusion and adenopathy were significantly associated with PTB, had high inter-reader reliability, and received 2, 2, 1 and 2 points, respectively in the final score. Using a cut-off of 2, scores below this threshold had a high negative predictive value (91.5%, 95%CI 87.1,94.7), but low positive predictive value (49.4%, 95%CI 42.9,55.9). Among the 382 TB suspects with negative sputum smears, 229 patients had scores <2; the score correctly ruled out active PTB in 214 of these patients (NPV 93.4%; 95%CI 89.4,96.3). The score had a suboptimal negative predictive value in HIV-infected patients (NPV 86.4, 95% CI 75,94).

conclusionsThe proposed scoring system is simple, and reliably ruled out active PTB in smear-negative HIV-uninfected patients, thus potentially reducing the need for further tests in high burden settings. Validation studies are now required.

Indexed as

AdultCohort StudiesFemaleHealth PersonnelHIV InfectionsHumansLogistic ModelsLungMaleMiddle AgedMultivariate AnalysisMycobacterium tuberculosisRadiography, ThoracicReproducibility of ResultsSensitivity and SpecificitySouth Africa

Identifiers

PMID23349835
PMCPMC3548832
OpenAlexW2006435715

What OpenQuestion 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 OpenQuestion graph.