Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 229

The DOI matches its Crossref record.

Comparisons of National Cesarean-Section Rates

Notzon, Francis C., Placek, Paul J., Taffel, Selma M.·1987·New England Journal of Medicine

Abstract

Our study of cesarean rates in 19 industrialized countries of Europe, North America, and the Pacific revealed sharp differences in rates, ranging from a low of 5 (Czechoslovakia) to a high of 18 (United States) per 100 hospital deliveries in 1981. Differences in cesarean rates according to maternal age, parity, and complications of pregnancy and childbirth reflected national differences in obstetrical practice. For example, the percentage of mothers who had a vaginal birth after a previous cesarean section was only 5 in the United States as compared with 43 in Norway, where the cesarean rate was half that in the United States. Despite the wide range of cesarean rates, almost all the countries studied have had consistent increases over the past decade, and the annual rate of increase for all countries appears to be converging. The steady pace of increase in developed countries, combined with comparable or even higher rates of cesarean delivery now being reported in less developed countries, underscores the need for the medical community to consider the appropriateness of this continued rise in the number of cesarean deliveries.

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 · 10.1056/nejm198702123160706

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 229

Metadata

Authors
Notzon, F. C., Placek, P. J., & Taffel, S. M.
Venue
New England Journal of Medicine
Published
1987-02-12
Volume
316
Issue
7
Pages
386-389
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2081002537
Cited by
229
References
0
FWCI
34.49
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: Comparisons of National Cesarean-Section Rates. https://app.cochat.ai/papers/10.1056/nejm198702123160706
The paper
Notzon, F. C., Placek, P. J., & Taffel, S. M. (1987). Comparisons of National Cesarean-Section Rates. New England Journal of Medicine. https://doi.org/10.1056/nejm198702123160706

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.