Evidence map›Paper›PMID 36962076›Full record

ArticlePLOS global public health2021

Patterns of non-communicable comorbidities at start of tuberculosis treatment in three regions of the Philippines: The St-ATT cohort.

Sharon E Cox, Tansy Edwards, Benjamin N Faguer, Julius P Ferrer, Shuichi J Suzuki, Mitsuki Koh, Farzana Ferdous, Naomi R Saludar, Anna-Marie C G Garfin, Mary C Castro and 1 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 33% 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, 13 citations in OpenAlex.

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  5. Evaluation of cytokine profiles related toFrontiers in immunology · 2024
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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

11 authors at 5 institutions in 3 countries.

Sharon E CoxFaculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-9908-2936
Tansy EdwardsSchool of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan.ORCID https://orcid.org/0000-0002-6110-014X
Benjamin N FaguerSchool of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan.ORCID https://orcid.org/0000-0002-5506-0014
Julius P FerrerNutrition Center Philippines, Muntinlupa City, Manila, Philippines.ORCID https://orcid.org/0000-0003-4178-0747
Shuichi J SuzukiSchool of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan.ORCID https://orcid.org/0000-0001-8922-7428
Mitsuki KohSchool of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan.
Farzana FerdousSchool of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan.
Naomi R SaludarSan Lazaro Hospital, Santa Cruz, Manila, Philippines.
Anna-Marie C G GarfinDepartment of Health, National TB Control Programme, Manila, the Philippines.
Mary C CastroNutrition Center Philippines, Muntinlupa City, Manila, Philippines.ORCID https://orcid.org/0000-0002-4289-7253
Juan A SolonNutrition Center Philippines, Muntinlupa City, Manila, Philippines.ORCID https://orcid.org/0000-0001-5709-2629
Nagasaki University · JPNutrition Center of the Philippines · PHLondon School of Hygiene & Tropical Medicine · GBDepartment of Health · PHManila Observatory · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes and undernutrition are common risk factors for tuberculosis (TB), associated with poor treatment outcomes and exacerbated by TB. Limited data exist describing patterns and risk factors of multiple comorbidities in persons with TB. Nine-hundred participants (69.6% male) were enrolled in the Starting Anti-TB Treatment (St-ATT) cohort, including 133 (14.8%) initiating treatment for multi-drug resistant TB (MDR-TB). Comorbidities were defined as: diabetes, HbA1c ≥6.5% and/or on medication; hypertension, systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg and/or on medication; anaemia (moderate/severe), haemoglobin <11g/dL; and, undernutrition (moderate/severe) body-mass-index <17 kg/m2. The most common comorbidities were undernutrition 23.4% (210/899), diabetes 22.5% (199/881), hypertension 19.0% (164/864) and anaemia 13.5% (121/899). Fifty-eight percent had ≥1 comorbid condition (496/847), with 17.1% having ≥2; most frequently diabetes and hypertension (N = 57, 6.7%). Just over half of diabetes (54.8%) and hypertension (54.9%) was previously undiagnosed. Poor glycemic control in those on medication (HbA1c≥8.0%) was common (N = 50/73, 68.5%). MDR-TB treatment was associated with increased odds of diabetes (Adjusted odds ratio (AOR) = 2.48, 95% CI: 1.55-3.95); but decreased odds of hypertension (AOR = 0.55, 95% CI: 0.39-0.78). HIV infection was only associated with anaemia (AOR = 4.51, 95% CI: 1.01-20.1). Previous TB treatment was associated with moderate/severe undernutrition (AOR = 1.98, 95% CI: 1.40-2.80), as was duration of TB-symptoms before starting treatment and household food insecurity. No associations for sex, alcohol or tobacco use were observed. MDR-TB treatment was marginally associated with having ≥2 comorbidities (OR = 1.52, 95% CI: 0.97-2.39). TB treatment programmes should plan for large proportions of persons requiring diagnosis and management of comorbidities with the potential to adversely affect TB treatment outcomes and quality of life. Dietary advice and nutritional management are components of comprehensive care for the above conditions as well as TB and should be included in planning of patient-centred services.

Identifiers

PMID36962076
PMCPMC10021424
OpenAlexW4200084527

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read156
identifiers read10
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.