Evidence map›Paper›PMID 28771504›Full record

ArticlePloS one2017

A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa.

Yasmeen Hanifa, Katherine L Fielding, Violet N Chihota, Lungiswa Adonis, Salome Charalambous, Nicola Foster, Alan Karstaedt, Kerrigan McCarthy, Mark P Nicol, Nontobeko T Ndlovu and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Development and validation of the Tuberculosis Diabetes Mellitus-Predictive Tool (TBDM-PT) in primary care.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Development and Validation of the Tuberculosis Risk Score for Smokers (TBRSS).International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Informing Balanced Investment in Services and Health Systems: A Case Study of Priority Setting for Tuberculosis Interventions in South Africa.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Article
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 at 7 institutions in 2 countries.

Yasmeen HanifaLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Katherine L FieldingLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Violet N ChihotaThe Aurum Institute, Johannesburg, South Africa.
Lungiswa AdonisMamelodi Hospital, Pretoria, South Africa.
Salome CharalambousThe Aurum Institute, Johannesburg, South Africa.
Nicola FosterHealth Economics Unit, School of public health and family medicine, University of Cape Town, Cape Town, South Africa.
Alan KarstaedtDepartment of Medicine, Chris Hani Baragwanath Hospital, Johannesburg, South Africa.
Kerrigan McCarthyThe Aurum Institute, Johannesburg, South Africa.
Mark P NicolDivision of Medical Microbiology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Nontobeko T NdlovuThe Aurum Institute, Johannesburg, South Africa.
Edina SinanovicHealth Economics Unit, School of public health and family medicine, University of Cape Town, Cape Town, South Africa.
Faieza SahidDepartment of Medicine, Chris Hani Baragwanath Hospital, Johannesburg, South Africa.
Wendy StevensNational Health Laboratory Service, Johannesburg, South Africa.
Anna VassallLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Gavin J ChurchyardLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Alison D GrantLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-2437-5195
University of the Witwatersrand · ZALondon School of Hygiene & Tropical Medicine · GBAurum Institute · ZANational Health Laboratory Service · ZAUniversity of Cape Town · ZASouth African Medical Research Council · ZAZithulele Hospital · ZA

Funding

Medical Research Council MR/K012126/1
6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) recommendation for regular tuberculosis (TB) screening of HIV-positive individuals with Xpert MTB/RIF as the first diagnostic test has major resource implications.

objectiveTo develop a diagnostic prediction model for TB, for symptomatic adults attending for routine HIV care, to prioritise TB investigation.

designCohort study exploring a TB testing algorithm.

settingHIV clinics, South Africa.

participantsRepresentative sample of adult HIV clinic attendees; data from participants reporting ≥1 symptom on the WHO screening tool were split 50:50 to derive, then internally validate, a prediction model. OUTCOME: TB, defined as "confirmed" if Xpert MTB/RIF, line probe assay or M. tuberculosis culture were positive; and "clinical" if TB treatment started without microbiological confirmation, within six months of enrolment.

resultsOverall, 79/2602 (3.0%) participants on ART fulfilled TB case definitions, compared to 65/906 (7.2%) pre-ART. Among 1133/3508 (32.3%) participants screening positive on the WHO tool, 1048 met inclusion criteria for this analysis: 52/515 (10.1%) in the derivation and 58/533 (10.9%) in the validation dataset had TB. Our final model comprised ART status (on ART > 3 months vs. pre-ART or ART < 3 months); body mass index (continuous); CD4 (continuous); number of WHO symptoms (1 vs. >1 symptom). We converted this to a clinical score, using clinically-relevant CD4 and BMI categories. A cut-off score of ≥3 identified those with TB with sensitivity and specificity of 91.8% and 34.3% respectively. If investigation was prioritised for individuals with score of ≥3, 68% (717/1048) symptomatic individuals would be tested, among whom the prevalence of TB would be 14.1% (101/717); 32% (331/1048) of tests would be avoided, but 3% (9/331) with TB would be missed amongst those not tested.

conclusionOur clinical score may help prioritise TB investigation among symptomatic individuals.

Indexed as

Ambulatory Care FacilitiesAdultFemaleHealth PersonnelHIV InfectionsHumansMaleMass ScreeningSouth AfricaTuberculosis

Identifiers

PMID28771504
PMCPMC5542442
OpenAlexW2742622131

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.