Evidence map›Paper›PMID 28388895›Full record

ArticleBMC infectious diseases2017

Development and validation of a prognostic score during tuberculosis treatment.

Eric Walter Pefura-Yone, Adamou Dodo Balkissou, Virginie Poka-Mayap, Hadja Koté Fatime-Abaicho, Patrick Thierry Enono-Edende, André Pascal Kengne

Abstract readValidation Study
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Tuberculosis deaths are predictable and preventable: Comprehensive assessment and clinical care is the key.Journal of clinical tuberculosis and other mycobacterial diseases · 2020
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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

6 authors.

Eric Walter Pefura-YoneDepartment of Internal medicine and specialities, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon. pefura2002@yahoo.fr.
Adamou Dodo BalkissouDepartment of Internal medicine and specialities, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon.
Virginie Poka-MayapDepartment of Internal medicine and specialities, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon.
Hadja Koté Fatime-AbaichoInstitut Supérieur de Technologie Médicale, Yaoundé, Cameroon.
Patrick Thierry Enono-EdendeInstitut Supérieur de Technologie Médicale, Yaoundé, Cameroon.
André Pascal KengneMedical Research Council & University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeath under care is a major challenge for tuberculosis (TB) treatment programs. We derived and validated a simple score to predict mortality during tuberculosis treatment in high endemicity areas.

methodsWe used data for patients aged ≥15 years, diagnosed and treated for tuberculosis at the Yaounde Jamot Hospital between January 2012 and December 2013. Baseline characteristics associated with mortality were investigated using logistic regressions. A simple prognosis score (CABI) was constructed with regression coefficients for predictors in the final model. Internal validation used bootstrap resampling procedures. Models discrimination was assessed using c-statistics and calibration assessed via calibration plots and the Hosmer and Lemeshwow (H-L) statistics. The optimal score was based on the Youden's index.

resultsA total of 2250 patients (men 57.2%) with a mean age of 35.8 years were included; among whom 213 deaths (cumulative incidence 9.5%) were recorded. Clinical form of tuberculosis (C), age (A, years), adjusted body mass index (B, BMI, kg/m

conclusionsThe preliminary promising findings from this study require confirmation through independent external validation studies. If confirmed, the model derived could facilitate the stratification of TB patients for mortality risk and implementation of additional monitoring and management measures in vulnerable patients.

Indexed as

Severity of Illness IndexAdultFemaleHumansLogistic ModelsMaleModels, BiologicalPrognosisRisk AssessmentRisk FactorsTreatment OutcomeTuberculosisMortalityPredictionRisk scoreTuberculosis

Identifiers

PMID28388895
PMCPMC5385091

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LicenceCC BY
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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.