Evidence map›Paper›PMID 39969796›Full record

ArticleJournal of endocrinological investigation2025

Extending curve matching with flexible hyperparameter selection to predict response to long-acting PEGylated growth hormone treatment in growth hormone deficiency children: method development and validation.

Ling Hou, Junfen Fu, Haiyan Wei, Liyang Liang, Hongwei Du, Jianping Zhang, Yan Zhong, Ruimin Chen, Xinran Cheng, Jiayan Pan and 13 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
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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

23 authors.

Ling HouDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Junfen FuDepartment of Endocrinology, National Clinical Research Center for Child Health, Children's Hospital of Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310052, China.
Haiyan WeiDepartment of Endocrinology and Metabolism, Henan Children's Hospital (Children's Hospital Affiliated to Zhengzhou University), Genetics, Zhengzhou, 450018, China.
Liyang LiangDepartment of Pediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Hongwei DuDepartment of Pediatrics, First Hospital of Jilin University, Changchun, 130021, China.
Jianping ZhangDepartment of Pediatrics, Ningbo Women & Children's Hospital, Ningbo, 315012, China.
Yan ZhongDepartment of Child Health Care, Hunan Children's Hospital, Changsha, 410007, China.
Ruimin ChenDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children's Hospital of Fujian Medical University, Fuzhou, 350005, China.
Xinran ChengDepartment of Pediatric Endocrine Genetics and Metabolism, Chengdu Women's and Children's Center Hospital, Chengdu, 610074, China.
Jiayan PanDepartment of Pediatrics, Wuhu First People's Hospital, Wuhu, 241000, China.
Xiaoou ShanDepartment of Genetics and Endocrinology, The Second Affiliated Hospital & Yuying, Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Ting ZengDepartment of Child Health Care, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, 545001, China.
Chunxiu GongDepartment of Endocrine and Genetics and Metabolism, Beijing Children's Hospital, Capital Medical University, National Centre for Children's Health, Beijing, 100045, China.
Wei LiaoDepartment of Pediatrics, First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, 400038, China.
Deyun LiuDepartment of Pediatrics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Shunye ZhuDepartment of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China.
Dan LanDepartment of Pediatrics, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Zhiya DongDepartment of Pediatrics, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China.
Huamei MaDepartment of Pediatrics, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510062, China.
Yu YangDepartment of Endocrinology and Genetics, Jiangxi Provincial Children's Hospital, Affiliated Children's Hospital of Nanchang University, Nanchang, 330006, China.
Min ZhuDepartment of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing, 400016, China.
Wen SunBeijing Intelligent Decision Medical Technology Co. Ltd, Beijing, 100028, China.
Xiaoping LuoDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. xpluo@tjh.tjmu.edu.cn.ORCID http://orcid.org/0000-0002-3748-4817

Funding

Key Technologies Research and Development Program 2023YFC2706300
6 · The paper itself

Abstract

purposeCurve matching can predict the height trajectories of children by analyzing longitudinal growth data. We extended the method to improve the prediction of response to long-acting growth hormone treatment in children with growth hormone deficiency (GHD).

methodsWe analyzed data from a previous real-world study with a 36-month treatment of PEGylated recombinant human growth hormone (PEG-rhGH). The matching database comprises height measures imputed using the broken stick method. For curve matching, we proposed a flexible hyperparameter selection approach to determining the number of similar patients.

resultsThe matching database included 681 patients, with an average of 12.20 ± 2.09 height measurements per patient. Our approach demonstrated significantly improved prediction accuracy compared with the previous approach using a fixed number of similar patients (mean squared errors of 0.0412 ± 0.1156 vs. 0.564 ± 0.1639, 0.851 ± 0.2627, and 0.1077 ± 0.2960 for 5, 10, and 15 similar patients, respectively, all P < 0.05). The optimal prediction scenario was having four height measurements within the first six months and predicting height trajectories from there on.

conclusionBy extending curve matching with flexible hyperparameter selection, we accurately predicted the response to long-acting PEG-rhGH in the GHD children included in this study.

Indexed as

Body HeightDwarfism, PituitaryGrowth DisordersHuman Growth HormonePolyethylene GlycolsAdolescentChildChild, PreschoolFemaleFollow-Up StudiesHumansLongitudinal StudiesMalePrognosisTreatment OutcomeHuman Growth HormonePolyethylene GlycolsCurve matchingGrowth hormone deficiencyPediatric growth trajectoriesPEGylated recombinant human growth hormonePredictive modelingTreatment response

Identifiers

PMID39969796

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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.