Evidence map›Paper›PMID 33363891›Full record

ArticleClinical case reports2020

Legg-Calvé-Perthes disease in a patient with Bardet-Biedl syndrome: A case report of a novel

Kenichi Mishima, Atsushi Fujita, Seiji Mizuno, Masaki Matsushita, Tadashi Nagata, Yasunari Kamiya, Noriko Miyake, Naomichi Matsumoto, Shiro Imagama, Hiroshi Kitoh

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical case reports, 2020. 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
0.4field-weighted citation impact, top 32% 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, 3 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Kenichi MishimaDepartment of Orthopaedic Surgery Nagoya University Graduate School of Medicine Nagoya Japan.ORCID https://orcid.org/0000-0003-3350-1664
Atsushi FujitaDepartment of Human Genetics Yokohama City University Graduate School of Medicine Yokohama Japan.
Seiji MizunoDivision of Medical Genetics Aichi Developmental Disability Center Kasugai Japan.
Masaki MatsushitaDepartment of Orthopaedic Surgery Nagoya University Graduate School of Medicine Nagoya Japan.
Tadashi NagataDepartment of Orthopaedic Surgery Nagoya University Graduate School of Medicine Nagoya Japan.ORCID https://orcid.org/0000-0001-7284-7428
Yasunari KamiyaDepartment of Orthopaedic Surgery Nagoya University Graduate School of Medicine Nagoya Japan.
Noriko MiyakeDepartment of Human Genetics Yokohama City University Graduate School of Medicine Yokohama Japan.ORCID https://orcid.org/0000-0003-0987-310X
Naomichi MatsumotoDepartment of Human Genetics Yokohama City University Graduate School of Medicine Yokohama Japan.
Shiro ImagamaDepartment of Orthopaedic Surgery Nagoya University Graduate School of Medicine Nagoya Japan.
Hiroshi KitohDepartment of Orthopaedic Surgery Aichi Children's Health and Medical Center Obu Japan.ORCID https://orcid.org/0000-0001-6271-1586
Nagoya University · JPYokohama City University · JPAichi Developmental Disability Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reports a girl with Bardet-Biedl syndrome (BBS) having a novel causative mutation who developed Legg-Calvé-Perthes disease (LCPD). There exists a possibility that the prognosis of LCPD had been adversely affected by the concomitant BBS.

Indexed as

Bardet‐Biedl syndromeLegg‐Calvé‐Perthes diseaseMKKS/BBS6 geneosteochondrosissurgical containment

Identifiers

PMID33363891
PMCPMC7752338
OpenAlexW3088897695

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.