Evidence map›Paper›PMID 27484399›Full record

ArticleBMC infectious diseases2016

Risk factors for tuberculosis smear non-conversion in Eden district, Western Cape, South Africa, 2007-2013: a retrospective cohort study.

Mandla Mlotshwa, Natasha Abraham, Moira Beery, Seymour Williams, Sandra Smit, Margot Uys, Carl Reddy, Andrew Medina-Marino

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  14. Determinants of sputum smear nonconversion in smear-positive pulmonary tuberculosis patients in Suriname, 2010 - 2015.Revista panamericana de salud publica = Pan American journal of public health · 2019
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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

8 authors at 3 institutions in 1 country.

Mandla MlotshwaSouth African Field Epidemiology Training Programme, National Institute for Communicable Diseases, Johannesburg, South Africa.
Natasha AbrahamEpidemiology Research Unit, Foundation for Professional Development, Pretoria, South Africa.
Moira BeerySouth African Field Epidemiology Training Programme, National Institute for Communicable Diseases, Johannesburg, South Africa.
Seymour WilliamsSouth African Field Epidemiology Training Programme, National Institute for Communicable Diseases, Johannesburg, South Africa.
Sandra SmitDepartment of Health, George, Western Cape, South Africa.
Margot UysEpidemiology Research Unit, Foundation for Professional Development, Pretoria, South Africa.
Carl ReddySouth African Field Epidemiology Training Programme, National Institute for Communicable Diseases, Johannesburg, South Africa.
Andrew Medina-MarinoEpidemiology Research Unit, Foundation for Professional Development, Pretoria, South Africa. andrewmedinamarino@gmail.com.ORCID 0000-0002-2691-982X
National Health Laboratory Service · ZAFoundation for Professional Development · ZAWestern Cape Department of Health · ZA

Funding

PEPFAR
6 · The paper itself

Abstract

backgroundTuberculosis (TB) continues to be a major global health problem. While progress has been made to improve TB cure rates, South Africa's 76 % smear-positive pulmonary TB (PTB) case cure rate remains below the WHO target of 85 %. We report on the trends of TB smear non-conversion and their predictors at the end of an intensive phase of treatment, and how this impacted on treatment outcomes of smear-positive PTB cases in Eden District, Western Cape Province, South Africa.

methodsRoutinely collected, retrospective data of smear-positive PTB cases from the electronic TB register in Eden District between 2007 and 2013 was extracted. Non-conversion was defined as persistent sputum smear-positive PTB cases at the end of the two or three month intensive phase of treatment. Chi-square test for linear trend and simple linear regression analysis were used to analyse the change in percentages and slope of TB smear non-conversion rates over time. Risk factors for TB non-conversion, and their impact on treatment outcomes, were evaluated using logistic regression models.

resultsOf 12,742 total smear-positive PTB cases included in our study, 12.8 % (n = 1627) did not sputum smear convert; 13.3 % (1411 of 10,574) of new cases and 9.9 % (216 of 2168) of re-treatment cases. Although not statistically significant in either new or re-treatment cases, between 2007 and 2013, smear non-conversion decreased from 16.4 to 12.7 % (slope = -0.60; 95 % CI: -1.49 to 0.29; p = 0.142) in new cases, and from 11.3 to 10.8 % in re-treatment cases (slope = -0.29; 95 % CI: -1.06 to 0.48; p = 0.376). Male gender, HIV co-infection and a >2+ acid fast bacilli (AFB) smear grading at the start of TB treatment were independent risk factors for non-conversion (p < 0.001). Age was a risk factor for non-conversion in new cases, but not for re-treatment cases. Non-conversion was also associated with unsuccessful treatment outcomes (p < 0.01), including treatment default and treatment failure.

conclusionsSmear-positive PTB cases, especially men and those with identified risk factors for non-conversion, should be closely monitored throughout their treatment period. The South African TB control program should invest in patient adherence counselling and education to mitigate TB non-conversion risk factors, and to improve conversion and TB cure rates.

Indexed as

AdultAntitubercular AgentsCohort StudiesCoinfectionFemaleHIV InfectionsHumansLogistic ModelsMaleMiddle AgedMycobacterium tuberculosisRetrospective StudiesRisk FactorsSouth AfricaSputumTreatment FailureAntitubercular AgentsRisk factorsSmear non-conversionSouth AfricaTreatment outcomesTrendsTuberculosis

Identifiers

PMID27484399
PMCPMC4971671
OpenAlexW2502050694

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.