Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 303

The DOI matches its Crossref record.

The postpartum period: the key to maternal mortality

Li, X.F., Fortney, J.A., Kotelchuck, M., Glover, L.H.·1996·International Journal of Gynecology & Obstetrics

Abstract

Objectives: To assess postpartum care at an international level, we reviewed published literature on postpartum maternal deaths. Methods: Meta‐analysis was used to summarize the literature reviewed. Postpartum deaths in developing countries were compared with those in the United States. Results: In both developing countries and the United States, >60% of maternal deaths occurred in the postpartum period; 45% of postpartum deaths occurred within 1 day of delivery, >65% within 1 week, >80% within 2 weeks. In developing countries, 80% of postpartum deaths caused by obstetric factors occurred within 1 week. Conclusions: The first 24 h postpartum and the first postpartum week is the high risk of postpartum deaths, and the risk remains significant until the second week after delivery. In developing countries, hemorrhage, pregnancy‐induced hypertension complications, and obstetric infection are commonest causes of postpartum deaths. We suggest primary prevention, early detection, and secondary prevention of postpartum deaths.

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 · 10.1016/0020-7292(96)02667-7

Cites

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

Cited by

See all 303

Metadata

Authors
Li, X. F., Fortney, J. A., Kotelchuck, M., & Glover, L. H.
Venue
International Journal of Gynecology & Obstetrics
Publisher
Wiley
Published
1996-07
Volume
54
Issue
1
Pages
1-10
ISSN
  • 0020-6695 (ISSN-L)
  • 0020-7292
  • 1879-3479
OpenAlex
W2037394328
Cited by
303
References
0
FWCI
3.16
Type
journal article
Language
en
Open access
closed

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: The postpartum period: the key to maternal mortality. https://app.cochat.ai/papers/10.1016/0020-7292(96)02667-7
The paper
Li, X. F., Fortney, J. A., Kotelchuck, M., & Glover, L. H. (1996). The postpartum period: the key to maternal mortality. International Journal of Gynecology & Obstetrics. https://doi.org/10.1016/0020-7292(96)02667-7

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.