Evidence map›Paper›PMID 36781443›Full record

ReviewInternational journal of legal medicine2023

Skeletal injuries after cesarean section - a rare differential diagnosis of child abuse.

L Küppers, C Schaffer, M Helbig, S Ritz-Timme

Open access · hybridAbstract readReview
In one paragraph

Review in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

L KüppersInstitute of Legal Medicine, University Clinic Düsseldorf, Düsseldorf, Deutschland. Lisa.kueppers@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0001-8637-5863
C SchafferInstitute of Legal Medicine, University Clinic Düsseldorf, Düsseldorf, Deutschland.
M HelbigClinic for Gynecology and Obstetrics, University Clinic Düsseldorf, Düsseldorf, Deutschland.
S Ritz-TimmeInstitute of Legal Medicine, University Clinic Düsseldorf, Düsseldorf, Deutschland.
Düsseldorf University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birth-related fractures are an important differential diagnosis of child abuse in early infancy. While fractures associated to vaginal deliveries are well known, cesarean section is not necessarily known to cause such injuries. Nevertheless neonatal fractures have been described after cesarean sections. To give an overview over the frequency and typical locations of such fractures, the appearance of symptoms and the timespan until diagnosis, a literature research was conducted via Google scholar and Pubmed, using the key words "cesarean section" and "fractures". Birth-related fractures after cesarean sections are rare but can occur, with the long bones being particularly affected. Therefore, birth injuries should always be considered in the forensic medical assessment of fractures in early infancy, even after cesarean section. To enable a differentiation between birth trauma and physical abuse, birth and operation records should be checked for surgical manoeuvres, possible difficulties during the procedure or other risk factors. Birth-related fractures are usually detected early; in rare cases, the diagnosis is made only weeks after birth.

Indexed as

Birth InjuriesChild AbuseFractures, BoneCesarean SectionChildDiagnosis, DifferentialFemaleHumansInfant, NewbornPregnancyRetrospective StudiesBirth injuryCesarean sectionLong bone fractureObstetric fractureSkull fracture

Identifiers

PMID36781443
PMCPMC10085884
OpenAlexW4320482504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.