Evidence map›Paper›PMID 34281944›Full record

ArticleBMJ case reports2021

McCune-Albright syndrome onset with vaginal bleeding.

Ngo Van Doan, Nguyen Minh Duc, Vuong Kim Ngan, Nguyen Van Anh

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Cutaneous mosaicism: Special considerations for women.International journal of women's dermatology · 2021
    Review
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 2 institutions in 1 country.

Ngo Van Doan *Department of Radiology, Vinmec Healthcare System, Hanoi, Viet Nam.
Nguyen Minh Duc *Department of Radiology, Pham Ngoc Thach University of Medicine, Ho Chi Minh, Viet Nam bsnguyenminhduc@pnt.edu.vn.ORCID http://orcid.org/0000-0001-5411-1492
Vuong Kim NganDepartment of Radiology, Vinmec Healthcare System, Hanoi, Viet Nam.
Nguyen Van AnhDepartment of Radiology, Vinmec Healthcare System, Hanoi, Viet Nam.
Vinmec International Hospital · VNPham Ngoc Thach University of Medicine · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

McCune-Albright syndrome (MAS), a rare genetic disorder, affects multiple organs and classically presents with the triad of polyostotic fibrous dysplasia (FD), skin hyperpigmentation (café-au-lait spots) and precocious puberty. Diagnosis occurs when patients manifest at least two of these three symptoms. We describe a 4-year-old girl who was admitted to our hospital due to recurrent vaginal bleeding, initially diagnosed as precocious puberty. On brain MRI, abnormalities in the maxillary and occipital bones were compatible with FD. Clinical examination after craniofacial bone lesions and clinical signs indicated MAS revealed abnormally pigmented macules on the neck and back, which were initially overlooked. No abnormal hormone tests were observed. Precocious puberty is the most common MAS-associated symptom that results in the admission to the hospital, whereas the clinical manifestation of FD in the first years of life is usually equivocal and probably has not been discovered by parents. Thus, comprehensive medical examinations are necessary to obtain a prompt and proper diagnosis.

Indexed as

Fibrous Dysplasia, PolyostoticPuberty, PrecociousCafe-au-Lait SpotsChild, PreschoolFemaleHumansUterine Hemorrhageendocrinologyimmunologyradiologyradiology (diagnostics)

Identifiers

PMID34281944
PMCPMC8291322
OpenAlexW3186636839

What OpenQuestion holds

Textmetadata
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.