Evidence map›Paper›PMID 39731401›Full record

ReviewDrug testing and analysis2025

Annual Banned-Substance Review 17th Edition-Analytical Approaches in Human Sports Drug Testing 2023/2024.

Mario Thevis, Tiia Kuuranne, Hans Geyer

Abstract readReview
In one paragraph

Review in Drug testing and analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

  1. Article
  2. Article
  3. Review
  4. Article
  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

3 authors.

Mario ThevisCenter for Preventive Doping Research, Institute of Biochemistry, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-5972-8854
Tiia KuuranneSwiss Laboratory for Doping Analyse, University Center of Legal Medicine, Genève and Lausanne, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Epalinges, Switzerland.
Hans GeyerCenter for Preventive Doping Research, Institute of Biochemistry, German Sport University Cologne, Cologne, Germany.

Funding

Bundesministerium des Innern, für Bau und HeimatManfred Donike Institut für Dopinganalytik
6 · The paper itself

Abstract

The 17th edition of the annual banned-substance review on analytical approaches in human sports drug testing is dedicated to literature published between October 2023 and September 2024. As in previous years, focus is put particularly on new or enhanced analytical options in human doping controls as well as investigations into the metabolism and elimination of compounds of interest, which represent central (while not exclusive) cornerstones of the global anti-doping mission. New information published within the past 12 months on established doping agents as well as new potentially relevant substances are reviewed and discussed in the context of the World Anti-Doping Agency's 2024 Prohibited List. Thereby, analytical challenges, especially with regard to the continuously growing number of target compounds and potentially relevant drug classes as well as the exigency (and consequences) of utmost analytical retrospectivity, are thematized and contextualized. Investigations especially into anabolic agents, peptide hormones, and strategies for the detection of gene doping were identified as core areas of anti-doping research in the reviewed period.

Indexed as

Anabolic AgentsDoping in SportsPerformance-Enhancing SubstancesSubstance Abuse DetectionHumansAnabolic AgentsPerformance-Enhancing Substancesdoping |exposure |gene doping |semaglutide |sport

Identifiers

PMID39731401
PMCPMC12319490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.