Evidence map›Paper›PMID 26512355›Full record

ArticleAnnals of pediatric endocrinology & metabolism2015

XYY syndrome: a 13-year-old boy with tall stature.

Won Ha Jo, Mo Kyung Jung, Ki Eun Kim, Hyun Wook Chae, Duk Hee Kim, Ah Reum Kwon, Ho-Seong Kim

Open access · diamondAbstract read
In one paragraph

Article in Annals of pediatric endocrinology & metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Won Ha JoDepartment of Pediatrics, Severance Children's Hospital, Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Mo Kyung JungDepartment of Pediatrics, Severance Children's Hospital, Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Ki Eun KimDepartment of Pediatrics, Severance Children's Hospital, Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Hyun Wook ChaeDepartment of Pediatrics, Severance Children's Hospital, Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Duk Hee KimDepartment of Pediatrics, Sowha Children's Hospital, Seoul, Korea.
Ah Reum KwonDepartment of Pediatrics, Severance Children's Hospital, Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Ho-Seong KimDepartment of Pediatrics, Severance Children's Hospital, Endocrine Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Severance Hospital · KRYonsei University · KRDongwha Pharm (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When evaluating the underlying causes of tall stature, it is important to differentiate pathologic tall stature from familial tall stature. Various pathologic conditions leading to adult tall stature include excess growth hormone secretion, Marfan syndrome, androgen or estrogen deficiency, testicular feminization, and sex chromosome anomaly, such as Klinefelter syndrome and XYY syndrome. Men with 47,XYY syndrome can exhibit multiple phenotypes. A 13-year-old boy visited the hospital for evaluation of tall stature. The boy had no other physical abnormalities except tall stature. All biochemical and imaging studies were within the normal ranges. He was diagnosed with XYY syndrome in this chromosome study. When evaluating men with tall stature, XYY syndrome should be ruled out.

Indexed as

47,XYY syndromeGrowth disordersSex chromosome disorders

Identifiers

PMID26512355
PMCPMC4623347
OpenAlexW2189737676

What OpenQuestion holds

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LicenceCC BY-NC
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.