Evidence map›Paper›PMID 30593984›Full record

ArticleDrug and alcohol dependence2019

Assessing tobacco use in an African population: Serum and urine cotinine cut-offs from South Africa.

Lisa J Ware, Karen Charlton, Ruan Kruger, Yolandi Breet, Johannes van Rooyen, Hugo Huisman, Shani Botha, Aletta S Uys, Kirsten L Rennie, Nirmala Naidoo and 2 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

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

  1. Pooled it
  2. Biochemical verification of tobacco use in ICU patients using point-of-care urinary cotinine.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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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

12 authors at 6 institutions in 4 countries.

Lisa J WareSouth African MRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Hypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa. Electronic address: lisa.ware@wits.ac.za.
Karen CharltonSchool of Medicine, University of Wollongong, and Illawarra Health and Medical Research Institute, New South Wales, Australia. Electronic address: karenc@uow.edu.au.
Ruan KrugerHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa; MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, South Africa. Electronic address: ruan.kruger@me.com.
Yolandi BreetHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa. Electronic address: 21195706@nwu.ac.za.
Johannes van RooyenHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa. Electronic address: Johannes.VanRooyen@nwu.ac.za.
Hugo HuismanHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa. Electronic address: Hugo.Huisman@nwu.ac.za.
Shani BothaHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa; MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, South Africa. Electronic address: Shani.Botha@nwu.ac.za.
Aletta S UysHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa. Electronic address: Lisa.Uys@nwu.ac.za.
Kirsten L RennieMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, United Kingdom. Electronic address: Kirsten.Rennie@mrc-epid.cam.ac.uk.
Nirmala NaidooWorld Health Organization (WHO), Geneva, Switzerland. Electronic address: naidoon@who.int.
Paul KowalWorld Health Organization (WHO), Geneva, Switzerland; University of Newcastle Research Centre for Generational Health and Ageing, Newcastle, Australia. Electronic address: kowalp@who.int.
Aletta E SchutteHypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa; MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, South Africa. Electronic address: alta.schutte@nwu.ac.za.
North-West University · ZAMRC Epidemiology Unit · GBUniversity of Newcastle Australia · AUUniversity of the Witwatersrand · ZAUniversity of Wollongong · AUWorld Health Organization · CH

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
Medical Research Council MC_PC_16095NIA NIH HHS R01 AG034479World Health Organization 001
6 · The paper itself

Abstract

backgroundCotinine, a nicotine metabolite, is used to measure tobacco use and exposure, but recommended cut-offs to differentiate tobacco users from those exposed through the environment range from 3 to 58 ng/ml in serum, and 2.5 to 550 ng/ml in urine. Cut-offs may differ by ethnicity, sex and age. As data from adults in Africa are scarce, our aim was to evaluate cut-offs for serum and urine cotinine that best predict self-reported tobacco use in South African adults.

methodsTwo datasets were explored: African-PREDICT (n = 941 black and white healthy young adults, 20-30 years, serum cotinine); and WHO SAGE Wave 2 (n = 604 adults, 18-102 years, urine cotinine). Population specific cut-offs (ROC analyses) were compared with published cut-offs and self-reported tobacco use.

resultsOverall, 19% (293 of 1545) reported current tobacco use. The following cotinine cut-offs showed the highest sensitivity and specificity: serum ≥15 ng/ml in black and white men, and white women; serum ≥10 ng/ml in black women; urine ≥300 ng/ml for black, mixed ancestry, and older adults (50-plus years); urine ≥500 ng/ml for younger adults (18-49 years). Specificity was lower for urine than for serum cotinine.

conclusionOur study suggests that a serum cotinine level of ≥15 ng/ml and a urine cotinine level of ≥300 ng/ml best distinguish current tobacco users from non-users generally in the South African adult population.

Indexed as

Black PeopleWhite PeopleAdolescentAdultAgedAged, 80 and overBiomarkersCotinineFemaleHumansMaleMiddle AgedPopulation SurveillanceSelf ReportSouth AfricaTobacco UseBiomarkersCotinineBiomarkersCotinineSmokingSub-Saharan AfricaTobacco

Identifiers

PMID30593984
PMCPMC6424978
OpenAlexW2905933176

What OpenQuestion holds

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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.