Evidence map›Paper›PMID 42510090›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Interpretable Machine Learning for Predicting Suboptimal 12-Month Growth Response to Recombinant Human Growth Hormone in Children with Idiopathic Short Stature: A Dual-Center External Validation Study.

Chuanyu Yang, Yifeng Shao, Chengyang Jiang, Runmin Zhang, Jian Wang, Xinlin Chen, Yuyuan Zeng, Qi An, Nan Peng, Xi Wang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Chuanyu YangCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Yifeng ShaoCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Chengyang JiangCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Runmin ZhangChina United Network Communications Group, Beijing Branch, Beijing 100009, China.
Jian WangDepartment of Pediatrics, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing 102218, China.
Xinlin ChenCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Yuyuan ZengCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Qi AnDepartment of Child Health Care, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.
Nan PengCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.
Xi WangDepartment of Child Health Care, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.
Bo ZhouDepartment of Child Health Care, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.
Jianhong WangDepartment of Child Health Care, Capital Center for Children's Health, Capital Medical University, Beijing 100020, China.
Lin WangCapital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China.ORCID 0000-0001-5536-781X

Funding

High-level Public Health Talents Training Plan AL-02-19New Quality Foundation of Capital Institute of Pediatrics XZYC-2025-07the Special Research Project of Capital Health Development 2024-1-1131
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

clinical prediction modelidiopathic short statureinterpretabilitymachine learningrecombinant human growth hormone

Identifiers

PMID42510090
PMCPMC13408863

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.