Evidence map›Paper›PMID 10870865›Full record

ReviewSports medicine (Auckland, N.Z.)2000

Perspectives in the utilisation of Fourier-transform infrared spectroscopy of serum in sports medicine: health monitoring of athletes and prevention of doping.

C Petibois, G Déléris, G Cazorla

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

C PetiboisINSERM Unit 443, Bio-Organic Chemistry Group, University Victor Segalen/Bordeaux 2, France.
G Déléris
G Cazorla

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Doping prevention is mainly directed to providing information on the dangers of doping to young athletes and to every profession concerned with athletic performance. Unfortunately, repression is also necessary in the fight against doping. Measurement of performance-enhancing drugs is complex, partly because of the large number of prohibited substances. A number of sophisticated analytical techniques are increasingly being used to provide the maximum detection time window. However, the effectiveness of methods to separate exogenous from endogenous biological molecules and the cost of antidoping analyses makes controls invalid or impossible. Moreover, most athletes, because of the metabolic and psychological stresses caused, legitimately refuse blood testing. It is becoming crucial to introduce new methods in the form of longitudinal health monitoring, since this is probably the most effective tool to prevent the use of doping agents when athletes become overtrained and/or overstressed. This paper describes new methods using Fourier-transform infrared spectroscopy to analyse serum from 50 microl samples of capillary blood. This technique has been shown to allow determination of the concentration of a wide range of biological molecules in a single microsample with clinically useful accuracy, and to provide a 'discriminatory biomolecular profile' to differentiate individuals on the basis of their physiological status. A specific application of this methodology is to perform longitudinal health monitoring in athletes, allowing prevention of overtraining. It is proposed to apply such methods in longitudinal studies for health monitoring and prevention of doping.

Indexed as

Spectroscopy, Fourier Transform InfraredSportsDoping in SportsExerciseHealth StatusHumansSubstance Abuse Detection

Identifiers

What OpenQuestion holds

Textmetadata
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.