Evidence map›Paper›PMID 18946638›Full record

ArticleInternational journal of hematology2008

Study of a new indirect method based on absolute norms of variation to detect autologous blood transfusion.

Pierre Sallet, Elisabeth Brunet-Guedj, René Mornex, Gabriel Baverel

Abstract read
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Article in International journal of hematology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Ex vivo erythrocyte generation and blood doping.Blood transfusion = Trasfusione del sangue · 2013
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Pierre SalletService de Médecine du Sport Pavillon A, Hôpital Edouard Herriot, 5 Place d'Arsonval, 69437, Lyon Cedex 03, France. p.sallet@athletesfortransparency.com.
Elisabeth Brunet-GuedjService de Médecine du Sport Pavillon A, Hôpital Edouard Herriot, 5 Place d'Arsonval, 69437, Lyon Cedex 03, France.
René MornexService de Médecine du Sport Pavillon A, Hôpital Edouard Herriot, 5 Place d'Arsonval, 69437, Lyon Cedex 03, France.
Gabriel BaverelUnité U INSERM 499, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate an indirect method based on a determination of absolute norms of variation in biological markers that could be used to identify autologous blood transfusion within the framework of the fight against doping. The selection of markers was made from experimental variations obtained during different phases including an increase in training volume at sea level, high altitude training, blood withdrawal and autologous blood reinfusion. The global statistical method was then developed in order to fix absolute norms of variation for each selected marker. The markers selected were haematocrit (Hct), haemoglobin concentration ([Hb]), stimulation index (Off-hr) and the absolute norms of variation (normDelta) established for a maximal 15 days period were normDeltaHct(0-15) >6%, normDelta[Hb](0-15) >4% and normDeltaOff-hr(0-15) >20%. From analyses between two blood samples spaced at an interval of maximum 15 days, this method allows to show "abnormal" variation when a variation for one of the selected markers is strictly superior to the absolute norms of variation established. The legal framework for an immediate application of this method could be that of the internal regulations implemented by each international federation in accordance with the health policy in vigour.

Indexed as

Blood Transfusion, AutologousDoping in SportsHematocritAdultBiomarkersHemoglobinsHumansMaleObserver VariationTime FactorsBiomarkersHemoglobins

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.