Evidence map›Paper›PMID 34322255›Full record

ArticleClinical case reports2021

Craniolacunia in A neonate; A clinical and CT scan illustrative case report.

Emmanuel Kobina Mesi Edzie, Klenam Dzefi-Tettey, Philip Narteh Gorleku, Kwasi Agyen-Mensah, Henry Kusodzi, Frank Quarshie, Abdul Raman Asemah

Open access · goldAbstract readCase Reports
In one paragraph

Article in Clinical case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Hidden Hollows of the Fetal Cranium-Lacunar Skull in Isolation.Case reports in obstetrics and gynecology · 2026
    Article
  2. 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

7 authors at 3 institutions in 1 country.

Emmanuel Kobina Mesi EdzieDepartment of Medical Imaging School of Medical Sciences College of Health and Allied Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0002-5485-2386
Klenam Dzefi-TetteyDepartment of Radiology Korle Bu Teaching Hospital Accra Ghana.ORCID https://orcid.org/0000-0002-6322-5341
Philip Narteh GorlekuDepartment of Medical Imaging School of Medical Sciences College of Health and Allied Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0002-6225-2284
Kwasi Agyen-MensahDepartment of Neurosurgery. School of Medical Sciences College of Health and Allied Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0002-1243-9278
Henry KusodziDepartment of Medical Imaging School of Medical Sciences College of Health and Allied Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0001-7994-8571
Frank QuarshieAfrican Institute for Mathematical Siences (AIMS) Accra Ghana.ORCID https://orcid.org/0000-0001-5937-1832
Abdul Raman AsemahDepartment of Medical Imaging School of Medical Sciences College of Health and Allied Sciences University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0003-3921-0817
University of Cape Coast · GHAfrican Institute for Mathematical Sciences Ghana · GHKorle Bu Teaching Hospital · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural tube defects can be accurately diagnosed prenatally. Every effort must be made to get this and its associations with Craniolacunia right, especially in low-resource settings. This case highlights the importance of three-dimensional CT in diagnosing neonatal skull abnormalities.

Indexed as

A Neonatebirth defectcraniolacuniahead CT scan

Identifiers

PMID34322255
PMCPMC8299093
OpenAlexW3185097474

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.