Evidence map›Paper›PMID 27636095›Full record

ArticlePloS one2016

A Prediction Rule to Stratify Mortality Risk of Patients with Pulmonary Tuberculosis.

Helder Novais Bastos, Nuno S Osório, António Gil Castro, Angélica Ramos, Teresa Carvalho, Leonor Meira, David Araújo, Leonor Almeida, Rita Boaventura, Patrícia Fragata and 10 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. A predictive score for early in-patient tuberculosis mortality: A case-control study.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  6. Observational
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  8. Review
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  13. Heterogeneous Streptomycin Resistance Level AmongFrontiers in microbiology · 2021
    Article
  14. Tuberculosis deaths are predictable and preventable: Comprehensive assessment and clinical care is the key.Journal of clinical tuberculosis and other mycobacterial diseases · 2020
    Article
  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 1 country.

Helder Novais BastosDepartment of Pneumology, Centro Hospitalar São João, Porto, Portugal.ORCID http://orcid.org/0000-0002-1412-4202
Nuno S OsórioLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
António Gil CastroLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
Angélica RamosDepartment of Clinical Pathology, Centro Hospitalar São João, Porto, Portugal.
Teresa CarvalhoDepartment of Clinical Pathology, Centro Hospitalar São João, Porto, Portugal.
Leonor MeiraDepartment of Pneumology, Centro Hospitalar São João, Porto, Portugal.
David AraújoDepartment of Pneumology, Centro Hospitalar São João, Porto, Portugal.
Leonor AlmeidaDepartment of Pneumology, Centro Hospitalar São João, Porto, Portugal.
Rita BoaventuraDepartment of Pneumology, Centro Hospitalar São João, Porto, Portugal.
Patrícia FragataDepartment of Internal Medicine, Hospital do Santo Espírito da Ilha Terceira, Angra do Heroísmo, Portugal.
Catarina ChavesLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
Patrício CostaLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
Miguel PortelaSchool of Economics and Management, University of Minho, Braga, Portugal.
Ivo FerreiraDepartment of Radiology, Centro Hospitalar do Porto, Porto, Portugal.
Sara Pinto MagalhãesDepartment of Radiology, Centro Hospitalar do Porto, Porto, Portugal.
Fernando RodriguesLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
Rui Sarmento-CastroLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
Raquel DuarteInstitute of Public Health, University of Porto, Porto, Portugal.
João Tiago GuimarãesDepartment of Clinical Pathology, Centro Hospitalar São João, Porto, Portugal.
Margarida SaraivaLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
Universidade do Porto · PTHospital de São João · PTUniversity of Minho · PTCentro Hospitalar do Porto · PTHospital de Santo Espirito de Angra do Heroísmo · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis imposes high human and economic tolls, including in Europe. This study was conducted to develop a severity assessment tool for stratifying mortality risk in pulmonary tuberculosis (PTB) patients. A derivation cohort of 681 PTB cases was retrospectively reviewed to generate a model based on multiple logistic regression analysis of prognostic variables with 6-month mortality as the outcome measure. A clinical scoring system was developed and tested against a validation cohort of 103 patients. Five risk features were selected for the prediction model: hypoxemic respiratory failure (OR 4.7, 95% CI 2.8-7.9), age ≥50 years (OR 2.9, 95% CI 1.7-4.8), bilateral lung involvement (OR 2.5, 95% CI 1.4-4.4), ≥1 significant comorbidity-HIV infection, diabetes mellitus, liver failure or cirrhosis, congestive heart failure and chronic respiratory disease-(OR 2.3, 95% CI 1.3-3.8), and hemoglobin <12 g/dL (OR 1.8, 95% CI 1.1-3.1). A tuberculosis risk assessment tool (TReAT) was developed, stratifying patients with low (score ≤2), moderate (score 3-5) and high (score ≥6) mortality risk. The mortality associated with each group was 2.9%, 22.9% and 53.9%, respectively. The model performed equally well in the validation cohort. We provide a new, easy-to-use clinical scoring system to identify PTB patients with high-mortality risk in settings with good healthcare access, helping clinicians to decide which patients are in need of closer medical care during treatment.

Indexed as

AdultCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsTuberculosis, Pulmonary

Identifiers

PMID27636095
PMCPMC5026366
OpenAlexW2518876893

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.