Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 441

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Prevalence and risk factors of severe obstetric haemorrhage

Open access
Al‐Zirqi, I, Vangen, S, Forsen, L, Stray‐Pedersen, B·2008·BJOG: An International Journal of Obstetrics & Gynaecology

Abstract

Objective To determine the prevalence, causes, risk factors and acute maternal complications of severe obstetric haemorrhage. Design Population‐based registry study. Population All women giving birth (307 415) from 1 January 1999 to 30 April 2004 registered in the Medical Birth Registry of Norway. Information about socio‐economic risk factors was obtained from Statistics Norway. Methods Cross‐tabulation was used to study prevalence, causes and acute maternal complications of severe obstetric haemorrhage. Associations of severe obstetric haemorrhage with demographic, medical and obstetric risk factors were estimated using multiple logistic regression models. Main outcome measure Severe obstetric haemorrhage (blood loss of > 1500 ml or blood transfusion). Results Severe obstetric haemorrhage was identified in 3501 women (1.1%). Uterine atony, retained placenta and trauma were identified causes in 30, 18 and 13.9% of women, respectively. The demographic factors of a maternal age of ≥30 years and South‐East Asian ethnicity were significantly associated with an increased risk of haemorrhage. The risk was lower in women of Middle Eastern ethnicity, more than three and two times higher for emergency caesarean delivery and elective caesarean than for vaginal birth, respectively, and substantially higher for multiple pregnancies, von Willebrand’s disease and anaemia (haemoglobin <9 g/dl) during pregnancy. Admissions to an intensive care unit, postpartum sepsis, hysterectomy, acute renal failure and maternal deaths were significantly more common among women with severe haemorrhage. Conclusion The high prevalence of severe obstetric haemorrhage indicates the need to review labour management procedures. Demographic and medical risk factors can be managed with extra vigilance.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1471-0528.2008.01859.x

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 38 references

Cited by

See all 441

Metadata

Authors
Al‐Zirqi, I., Vangen, S., Forsen, L., & Stray‐Pedersen, B.
Venue
BJOG: An International Journal of Obstetrics & Gynaecology
Publisher
Wiley
Published
2008-08-11
Volume
115
Issue
10
Pages
1265-1272
ISSN
  • 0306-5456 (ISSN-L)
  • 1470-0328
  • 1471-0528
OpenAlex
W2083091406
Cited by
441
References
38
FWCI
12.03
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Prevalence and risk factors of severe obstetric haemorrhage. https://app.cochat.ai/papers/10.1111/j.1471-0528.2008.01859.x
The paper
Al‐Zirqi, I., Vangen, S., Forsen, L., & Stray‐Pedersen, B. (2008). Prevalence and risk factors of severe obstetric haemorrhage. BJOG: An International Journal of Obstetrics & Gynaecology. https://doi.org/10.1111/j.1471-0528.2008.01859.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.