Evidence map›Paper›PMID 42232628›Full record

ArticleFrontiers in pediatrics2026

A prediction nomogram for faltering catch-up growth in full-term small-for-gestational-age infants: a retrospective cohort study.

Qian Hu, Sufei Yang, Ping Li, Jiawei Luo, Fan Yang

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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

5 authors.

Qian Hu *Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Sufei Yang *Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Ping LiDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Jiawei LuoWest China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.
Fan YangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Catch-up growth (CUG) before two years of age in small-for-gestational-age (SGA) infants is a key predictor of adult short stature. We aimed to establish and temporally validate a prediction nomogram for faltering CUG (FCUG) in full-term SGA infants before two years of age. Methods: We conducted a retrospective cohort study of full-term SGA infants at West China Second University Hospital, with cohorts defined as: development (January 1996-December 2019) and temporal validation (January 2020-July 2023). Full-term SGA infants, defined by birth weight or length below 10th percentile per INTERGROWTH-21st standards ( Results: In the development cohort, 280 of 1,185 (23.6%) of SGA infants experienced FCUG before age two, compared with 60 of 294 (20.4%) in the temporal validation cohort. In multivariable logistic regression analyses, male sex, lower birth length Conclusions: We have developed and temporally validated a clinically applicable nomogram that reliably identifies full-term SGA infants at high risk of failing to achieve catch-up growth by age two. With robust discrimination and calibration, this tool can support early risk stratification and guide targeted nutritional or developmental interventions.

Indexed as

birth length Z scorebirth weight Z scorecatch-up growthprediction nomogramsmall-for-gestational-agetarget height Z score

Identifiers

PMID42232628
PMCPMC13223142

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.