Evidence map›Paper›PMID 36059200›Full record

ArticleEuropean journal of haematology2022

Haematological changes from conception to childbirth: An indicator of major pregnancy complications.

Marion Patxot, Miloš Stojanov, Sven Erik Ojavee, Rosanna Pescini Gobert, Zoltán Kutalik, Mathilde Gavillet, David Baud, Matthew R Robinson

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of haematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Hematologic markers and machine learning in predicting placenta accreta: A case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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  5. Observational
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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

8 authors at 4 institutions in 2 countries.

Marion PatxotDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-0681-7786
Miloš StojanovMaterno-fetal and Obstetrics Research Unit, Department of Obstetrics and Gynecology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Sven Erik OjaveeDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Rosanna Pescini GobertDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Zoltán KutalikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Mathilde GavilletService and Central Laboratory of Haematology, Department of Oncology and Department of Laboratories and Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-2485-8197
David BaudMaterno-fetal and Obstetrics Research Unit, Department of Obstetrics and Gynecology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Matthew R RobinsonMedical Genomics, Institute of Science and Technology Austria, Klosterneuburg, Austria.
SIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Lausanne · CHInstitute of Science and Technology Austria · ATUniversity of Lausanne · CH

Funding

IST/core funding PCEGP3-181181SNF / Eccellenza Grant (PCEGP3-181181)
6 · The paper itself

Abstract

backgroundAbout 800 women die every day worldwide from pregnancy-related complications, including excessive blood loss, infections and high-blood pressure (World Health Organization, 2019). To improve screening for high-risk pregnancies, we set out to identify patterns of maternal hematological changes associated with future pregnancy complications.

methodsUsing mixed effects models, we established changes in 14 complete blood count (CBC) parameters for 1710 healthy pregnancies and compared them to measurements from 98 pregnancy-induced hypertension, 106 gestational diabetes and 339 postpartum hemorrhage cases.

resultsResults show interindividual variations, but good individual repeatability in CBC values during physiological pregnancies, allowing the identification of specific alterations in women with obstetric complications. For example, in women with uncomplicated pregnancies, haemoglobin count decreases of 0.12 g/L (95% CI -0.16, -0.09) significantly per gestation week (p value <.001). Interestingly, this decrease is three times more pronounced in women who will develop pregnancy-induced hypertension, with an additional decrease of 0.39 g/L (95% CI -0.51, -0.26). We also confirm that obstetric complications and white CBC predict the likelihood of giving birth earlier during pregnancy.

conclusionWe provide a comprehensive description of the associations between haematological changes through pregnancy and three major obstetric complications to support strategies for prevention, early-diagnosis and maternal care.

Indexed as

Hypertension, Pregnancy-InducedPostpartum HemorrhagePregnancy ComplicationsDelivery, ObstetricFemaleHumansParturitionPregnancyclinical haematologycomplete blood countlongitudinal datamaternal healthmixed effects model

Identifiers

PMID36059200
PMCPMC9825915
OpenAlexW4292487733

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.