Evidence map›Paper›PMID 33117485›Full record

ReviewThe Pan African medical journal2020

Aplasia cutis congenita: a report of two cases from National Hospital Abuja, Nigeria and review of the literature.

Mariya Mukhtar-Yola, Lauretta Mshelia, Amsa Baba Mairami, Adekunle Tolutope Otuneye, Edith Terna Yawe, Patricia Igoche, Lamidi Isah Audu

Open access · greenAbstract readCase ReportsReview
In one paragraph

Review in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Case Report: A newFrontiers in medicine · 2026
    Article
  5. Article
  6. Article
  7. 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 1 institution in 1 country.

Mariya Mukhtar-YolaDepartment of Paediatrics, National Hospital Abuja, Abuja, Nigeria.
Lauretta MsheliaDepartment of Paediatrics, National Hospital Abuja, Abuja, Nigeria.
Amsa Baba MairamiDepartment of Paediatrics, National Hospital Abuja, Abuja, Nigeria.
Adekunle Tolutope OtuneyeDepartment of Paediatrics, National Hospital Abuja, Abuja, Nigeria.
Edith Terna YaweNeonatology Division, National Hospital Abuja, Abuja, Nigeria.
Patricia IgocheDepartment of Paediatrics, National Hospital Abuja, Abuja, Nigeria.
Lamidi Isah AuduDepartment of Paediatrics, National Hospital Abuja, Abuja, Nigeria.
National Hospital Abuja · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aplasia cutis congenita is a rare congenital abnormality first described in 1767 by cordon. It mostly appears as a solitary lesion involving various layers of the skin and sometimes the bone on the scalp, limbs or abdomen. Genetics, environmental and exogenous causes have been implicated as potential causes. Only about 500 cases have been reported globally as of 2013. Two cases of Aplasia Cutis Congenita (ACC) who presented with scalp and bone defects at birth are reported, one in a syndromic child delivered to a consanguineous family, with associated cardiac, skin and nail anomalies (likely Adams Oliver syndrome) and the other as an isolated scalp lesion. Both were large defects managed conservatively by a multidisciplinary team. The challenges of investigating and managing such complex scalp anomalies in sub-Saharan Africa are highlighted.

Indexed as

Ectodermal DysplasiaHumansInfant, NewbornMaleNigeriaPatient Care TeamAplasia cutis congenitanewbornNigeriascalp

Identifiers

PMID33117485
PMCPMC7572678
OpenAlexW3096425429

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.