Evidence map›Paper›PMID 38015291›Full record

ArticleSports medicine - open2023

Assessing the Prevalence of Doping Among Elite Athletes: An Analysis of Results Generated by the Single Sample Count Method Versus the Unrelated Question Method.

Rolf Ulrich, Léa Cléret, R Dawn Comstock, Gen Kanayama, Perikles Simon, Harrison G Pope

Abstract read
In one paragraph

Article in Sports medicine - open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
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

6 authors.

Rolf UlrichDepartment of Psychology, University of Tübingen, 72076, Tübingen, Germany.
Léa CléretLeadership Trust Training and Development, Upper Granary, Brockhampton, HR4 1SE, UK.
R Dawn ComstockColorado School of Public Health, University of Colorado, Aurora, CO, USA.
Gen KanayamaBiological Psychiatry Laboratory, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA.
Perikles SimonDepartment of Sports Medicine, Rehabilitation and Disease Prevention, Johannes Gutenberg University Mainz, 55131, Mainz, Germany.
Harrison G PopeBiological Psychiatry Laboratory, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA. hpope@mclean.harvard.edu.ORCID http://orcid.org/0000-0003-1298-6439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2011, a group of researchers investigated the 12-month prevalence of doping at the 13th International Association of Athletics Federations World Championships in Athletics (WCA) in Daegu, South Korea, and also at the 12th Pan-Arab Games (PAG) in Doha, Qatar. The prevalence of doping at each event was estimated using an established randomized response method, the Unrelated Question Model (UQM). The study, published in 2018, found that the prevalence of past-year doping was at least 30% at WCA and 45% at PAG. At both events, separate data sets were collected in addition to the UQM data using a new method, the single sample count (SSC). Recently, Petróczi et al. have reported 12-month doping prevalence estimates for these two events based on the SSC data. These investigators obtained substantially lower prevalence estimates using the SSC and suggested that the 2018 estimates based on the UQM may have been too high. However, in this communication, we point out several possible shortcomings in the methods of Petróczi et al. and show that their SSC data would be equally compatible with a high 12-month doping prevalence comparable to the UQM estimates published in 2018.

Indexed as

DopingElite athletesRandomized response techniqueSingle sample countUnrelated question method

Identifiers

PMID38015291
PMCPMC10684448

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.