Evidence map›Paper›PMID 38988408›Full record

ArticleIJTLD open2024

A pilot cross-sectional study of non-communicable diseases in TB household contacts.

Y Hamada, A Lugendo, T Ntshiqa, G Kubeka, J M Lalashowi, S Mwastaula, K Ntshamane, I Sabi, S Wilson, A Copas and 6 more

Abstract read
In one paragraph

Article in IJTLD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

16 authors.

Y HamadaInstitute for Global Health, University College London, London, UK.
A LugendoMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
T NtshiqaImplementation Research Division, The Aurum Institute, Johannesburg.
G KubekaImplementation Research Division, The Aurum Institute, Johannesburg.
J M LalashowiMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
S MwastaulaMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
K NtshamaneImplementation Research Division, The Aurum Institute, Johannesburg.
I SabiMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
S WilsonMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
A CopasInstitute for Global Health, University College London, London, UK.
K VelenImplementation Research Division, The Aurum Institute, Johannesburg.
N E NtinginyaMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
L T MinjaMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, United Republic of Tanzania.
I AbubakarInstitute for Global Health, University College London, London, UK.
S CharalambousImplementation Research Division, The Aurum Institute, Johannesburg.
M X RangakaInstitute for Global Health, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on the prevalence of non-communicable diseases (NCDs) in TB household contacts (HHCs) are limited, yet important to inform integrated screening and care for NCD within contact investigations. It is also unclear if screening these contacts reveals more people with NCDs than individuals in the same neighbourhood.

methodWe conducted a pilot cross-sectional study in South Africa and Tanzania, enrolling adult HHCs of TB and individuals in neighbourhood households (controls). We inquired about known NCD and systematically measured blood pressure, and tested for spot blood glucose and haemoglobin A1c.

resultsWe enrolled 203 adult contacts of 111 persons with TB and 160 controls. Among contacts, respectively 12.2% (95% CI 8.3-17.6) and 39.7% (95% CI 33.1-46.7) had diabetes and hypertension, compared to 14.1% (95% CI 9.2-21.0) and 44.7% (95% CI 36.9-52.7) among controls. More than half of NCDs were newly identified. We did not find a significant difference in the prevalence of at least one NCD between the two groups (OR 0.85, 95% CI 0.50-1.45, adjusted for age and sex).

conclusionsWe found a high prevalence of undiagnosed NCDs among contacts, suggesting a potential benefit of integrating NCD screening and care within contact investigations. Screening in the same community might similarly find undiagnosed NCDs.

Indexed as

epidemiologyHHCsintegrated NCD screening and careNCDscreening

Identifiers

PMID38988408
PMCPMC11231826

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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.