Evidence map›Paper›PMID 31276500›Full record

Trial reportPloS one2019

Integrating TB and non-communicable diseases services: Pilot experience of screening for diabetes and hypertension in patients with Tuberculosis in Luanda, Angola.

Giulia Segafredo, Anil Kapur, Claudia Robbiati, Nsuka Joseph, Joseth Rita de Sousa, Giovanni Putoto, Fabio Manenti, Andrea Atzori, Ugo Fedeli

Open access · goldAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  9. Post-TB health and wellbeing.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
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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

9 authors at 4 institutions in 3 countries.

Giulia SegafredoPlanning and Operational Research Unit, Doctors with Africa CUAMM, Padova, Italy.ORCID 0000-0002-9619-6794
Anil KapurWorld Diabetes Foundation, Bagsvaerd, Denmark.
Claudia RobbiatiProgram Department, Doctors with Africa CUAMM Angola, Luanda, Angola.
Nsuka JosephDAT TB Dispensary, Luanda, Angola.
Joseth Rita de SousaNon Communicable Diseases Section, Ministry of Health, Luanda, Angola.
Giovanni PutotoPlanning and Operational Research Unit, Doctors with Africa CUAMM, Padova, Italy.
Fabio ManentiProgram Department, Doctors with Africa CUAMM, Padova, Italy.
Andrea AtzoriInternational Relations Department, Doctors with Africa CUAMM, Padova, Italy.
Ugo FedeliEpidemiological Department (SER), Azienda Zero, Padova, Italy.
Doctors with Africa Cuamm · ITClínica Sagrada Esperança · AOMinistry of Health · AOWorld Diabetes Foundation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the face of the rising burden of non-communicable diseases like diabetes mellitus (DM) and hypertension in sub-Saharan Africa, where infectious diseases like Tuberculosis (TB) are still endemic, the double burden of communicable and non-communicable diseases appears to be increasing rapidly. However, the size of the problem and what is the proper health system approach to deal with the double burden is still unclear. The aim of this project was to estimate the double burden of DM hypertension and TB and to pilot the integration of the screening for DM and hypertension in the TB national programs in six TB centers in Luanda, Angola.

methodsAll newly diagnosed pulmonary TB (PTB) patients accessing six directly observed treatment (DOT) centers in Luanda were screened for diabetes and hypertension. TB diagnosis was made clinically and/or with sputum microscopy DM diagnosis was made through estimation of either fasting plasma glucose (FPG) (considered positive if ≥ 7∙0mmol/l) or random plasma glucose (considered positive if ≥ 11∙1mmol/l). Uncontrolled hypertension was defined as systolic blood pressure (SBP) of ≥ 140 mm of Hg and/or diastolic blood pressure (DBP) of ≥ 90 mm of Hg, irrespective of use of antihypertensive drug.

resultsBetween January 2015 and December 2016, a total of 7,205 newly diagnosed patients with PTB were included in the analysis; 3,598 (49∙9%) were males and 3,607 females. Among 7,205 PTB patients enrolled, blood pressure was measured in 6,954 and 1,352 (19∙4%) were found to have uncontrolled hypertension, more frequently in females (23%) compared to males (16%). In multivariate logistic regression analysis uncontrolled hypertension was associated with increasing age and BMI and ethnic group. The crude prevalence of DM among TB patients was close to 6%, slightly higher in males (6∙3%) compared to females (5∙7%). Age adjusted prevalence was 8%. Impaired fasting glucose (>6∙1 to <7∙0 mmol/L) was detected in 414 patients (7%). In multivariate logistic regression analysis DM prevalence was higher in males and increased with increasing age and BMI.

interpretationTB patients have a considerable hypertension and diabetes co-morbidity. It is possible to screen for these conditions within the DOTs centres. Integration of health services for both communicable and non-communicable diseases is desirable and recommended.

Indexed as

Diabetes MellitusHypertensionTuberculosisAdolescentAdultAge FactorsAngolaBlood GlucoseComorbidityDelivery of Health CareFemaleHumansMaleMass ScreeningMiddle AgedPilot ProjectsBlood Glucose

Identifiers

PMID31276500
PMCPMC6611589
OpenAlexW2956052364

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.