Evidence map›Paper›PMID 37087423›Full record

ArticleBMC medical research methodology2023

Association of ABO blood groups with venous thrombosis recurrence in middle-aged patients: insights from a weighted Cox analysis dedicated to ambispective design.

Gaëlle Munsch, Louisa Goumidi, Astrid van Hylckama Vlieg, Manal Ibrahim-Kosta, Maria Bruzelius, Jean-François Deleuze, Frits R Rosendaal, Hélène Jacqmin-Gadda, Pierre-Emmanuel Morange, David-Alexandre Trégouët

Abstract read
In one paragraph

Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pulmonary Embolism and ABO Blood Type: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Linking Cortical Structure and Cerebrospinal Fluid Metabolites with Venous Thromboembolism Risk: A Two-Step Mendelian Randomization and Co-Localization Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

10 authors.

Gaëlle MunschUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 33000, Bordeaux, France.
Louisa GoumidiCardiovascular and Nutrition Research Center (C2VN), INSERM, INRAE, Aix-Marseille University, Marseille, France.
Astrid van Hylckama VliegDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Manal Ibrahim-KostaCardiovascular and Nutrition Research Center (C2VN), INSERM, INRAE, Aix-Marseille University, Marseille, France.
Maria BruzeliusDepartment of Medicine Solna, Karolinska Institute, Stockholm, Sweden.
Jean-François DeleuzeUniversité Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France.
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Hélène Jacqmin-GaddaUniv. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 33000, Bordeaux, France. helene.jacqmin-gadda@u-bordeaux.fr.
Pierre-Emmanuel Morange *Cardiovascular and Nutrition Research Center (C2VN), INSERM, INRAE, Aix-Marseille University, Marseille, France.
David-Alexandre Trégouët *Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 33000, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn studies of time-to-events, it is common to collect information about events that occurred before the inclusion in a prospective cohort. When the studied risk factors are independent of time, including both pre- and post-inclusion events in the analyses, generally referred to as relying on an ambispective design, increases the statistical power but may lead to a selection bias. In the field of venous thromboembolism (VT), ABO blood groups have been the subject of extensive research due to their substantial effect on VT risk. However, few studies have investigated their effect on the risk of VT recurrence. Motivated by the study of the association of genetically determined ABO blood groups with VT recurrence, we propose a methodology to include pre-inclusion events in the analysis of ambispective studies while avoiding the selection bias due to mortality.

methodsThis work relies on two independent cohorts of VT patients, the French MARTHA study built on an ambispective design and the Dutch MEGA study built on a standard prospective design. For the analysis of the MARTHA study, a weighted Cox model was developed where weights were defined by the inverse of the survival probability at the time of data collection about the events. Thanks to the collection of information on the vital status of patients, we could estimate the survival probabilities using a delayed-entry Cox model on the death risk. Finally, results obtained in both studies were then meta-analysed.

resultsIn the combined sample totalling 2,752 patients including 993 recurrences, the A1 blood group has an increased risk (Hazard Ratio (HR) of 1.18, p = 4.2 × 10

conclusionThe proposed methodology increases the power of studies relying on an ambispective design which is frequent in epidemiologic studies about recurrent events. This approach allowed to clarify the association of ABO blood groups with the risk of VT recurrence. Besides, this methodology has an immediate field of application in the context of genome wide association studies.

Indexed as

ABO Blood-Group SystemVenous ThrombosisGenome-Wide Association StudyHumansMiddle AgedProportional Hazards ModelsRecurrenceRisk FactorsABO Blood-Group SystemABO blood groupsAmbispective designGenetic association studiesRecurrenceSurvival analysisVenous thrombosis

Identifiers

PMID37087423
PMCPMC10122291

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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.