Evidence map›Paper›PMID 34122706›Full record

ArticleThe Pan African medical journal2021

Malnutrition prevalence and associated biochemical factors among drug-resistance tuberculosis (DR-TB) patients at key treatment sites in Conakry City, Republic of Guinea.

Aboubacar Sidiki Magassouba, Almamy Amara Touré, Boubacar Djelo Diallo, Lansana Mady Camara, Demba Touré, Nfanly Conté, Macka Diaby, Soriba Naby Camara, Gnoume Camara, Adama Marie Bangoura and 2 more

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In one paragraph

Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Aboubacar Sidiki MagassoubaNational Tuberculosis Control Program, International Union Against Tuberculosis and Lung Disease, Guinea.
Almamy Amara TouréCentre National de Formation et de Recherche en Santé Rurale de Maferinyah, Forecariah, Guinea.
Boubacar Djelo DialloFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Lansana Mady CamaraFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Demba TouréFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Nfanly ContéFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Macka DiabyFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Soriba Naby CamaraFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Gnoume CamaraFaculty of Health Science and Technology, Gamal Abdel Nasser University of Conakry, Conakry, Guinea.
Adama Marie BangouraNational Tuberculosis Control Program, Guinea.
Tamba Alima KamanoDepartment of Sociology of the University of Sonfonia, Conakry, Guinea.
Adrien Fapeingou TounkaraNational AIDS and Hepatitis Control Program, Guinea.
Gamal Abdel Nasser University of Conakry · GNInstitut de Recherche Agronomique de Guinée · GN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductiondrug-resistant tuberculosis is a major global health problem and a threat to health security given the increase in the number of cases and the challenges associated with care. Besides, the relationship between poor nutritional status and tuberculosis is clearly established. For relevant and evidence-based public health decision-making regarding the management of malnutrition in patients with drug-resistant tuberculosis in the initial phase, it is essential to estimate the prevalence of malnutrition and understand the risk factors associated with it.

methodswe performed a retrospective cohort study in drug-resistant tuberculosis patients aged 18 years and older, among which the nutritional status was assessed through BMI. All predictors were included in a prediction model using the multivariate logistic model according to the lowest Akaike criterion. Discrimination and model calibration was evaluated using receiver performance analysis, and the Hosmer and Lemeshow test.

resultsthis study revealed a prevalence of malnutrition of 64.7% in drug-resistant tuberculosis patients in our 218-patient series. The factors associated with malnutrition were: unsuccessful treatment, the active presence of mycobacterium tuberculosis, increased bacteriological conversion time, increased serum creatinine, increased transaminase SGPT of the liver, and anaemia. Some of the factors not associated with malnutrition included the history of anti-tuberculosis treatment, vomiting, hepatic SGPT, initial AFB count, smear and culture conversion time, depression, and chest X-ray.

conclusionmalnutrition remains a concern among drug-resistant tuberculosis patients in Guinea as it affects more than half of them with a negative impact on the outcome of treatment. Implementing specific interventions for these high-risk patients, including nutritional supplementation, psychosocial support, and treatment for tuberculosis, can improve management for better treatment outcomes.

Indexed as

AdultAntitubercular AgentsCohort StudiesFemaleGuineaHumansMaleMalnutritionMiddle AgedMycobacterium tuberculosisPrevalenceRetrospective StudiesRisk FactorsTuberculosis, Multidrug-ResistantYoung AdultAntitubercular Agentsassociated factorsDrug-resistant tuberculosisGuineamalnutrition

Identifiers

PMID34122706
PMCPMC8179982
OpenAlexW3162951548

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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.