The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants
Open accessAbstract
BACKGROUND: The aim of this study was to revise the 2003 Fenton Preterm Growth Chart, specifically to: a) harmonize the preterm growth chart with the new World Health Organization (WHO) Growth Standard, b) smooth the data between the preterm and WHO estimates, informed by the Preterm Multicentre Growth (PreM Growth) study while maintaining data integrity from 22 to 36 and at 50 weeks, and to c) re-scale the chart x-axis to actual age (rather than completed weeks) to support growth monitoring. METHODS: Systematic review, meta-analysis, and growth chart development. We systematically searched published and unpublished literature to find population-based preterm size at birth measurement (weight, length, and/or head circumference) references, from developed countries with: Corrected gestational ages through infant assessment and/or statistical correction; Data percentiles as low as 24 weeks gestational age or lower; Sample with greater than 500 infants less than 30 weeks. Growth curves for males and females were produced using cubic splines to 50 weeks post menstrual age. LMS parameters (skew, median, and standard deviation) were calculated. RESULTS: Six large population-based surveys of size at preterm birth representing 3,986,456 births (34,639 births < 30 weeks) from countries Germany, United States, Italy, Australia, Scotland, and Canada were combined in meta-analyses. Smooth growth chart curves were developed, while ensuring close agreement with the data between 24 and 36 weeks and at 50 weeks. CONCLUSIONS: The revised sex-specific actual-age growth charts are based on the recommended growth goal for preterm infants, the fetus, followed by the term infant. These preterm growth charts, with the disjunction between these datasets smoothing informed by the international PreM Growth study, may support an improved transition of preterm infant growth monitoring to the WHO growth charts.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Physical Status: The Use and Interpretation of Anthropometry
Frisancho, A. R. (1996) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.5.830 · Cited by 6,579
CDC GROWTH CHARTS FOR THE UNITED STATES: METHODS AND DEVELOPMENT 2000
Kuczmarski, R. J., Ogden, C. L., Guo, S. S., Strawn, L. G., Flegal, K. M., & Mei, Z. (2002) · Cited by 6,426
2000 CDC Growth Charts for the United States: methods and development.
Kuczmarski, R. J., Ogden, C. L., Guo, S. S., Grummer‐Strawn, L. M., Flegal, K. M., Mei, Z., Wei, R. X., Curtin, L. R., Roche, A. F., & Johnson, C. L. (2002) · PubMed · Cited by 3,716
Smoothing reference centile curves: The lms method and penalized likelihood
Cole, T. J., & Green, P. J. (1992) · Statistics in Medicine · doi:10.1002/sim.4780111005 · Cited by 2,781
Hennekens, C. H., Buring, J. E., & Mayrent, S. L. (1987) · Medical Entomology and Zoology · Cited by 2,319
(1988) · Annals of Internal Medicine · doi:10.7326/0003-4819-108-2-316_4 · Cited by 1,926
A New and Improved Population-Based Canadian Reference for Birth Weight for Gestational Age
Kramer, M. S., Platt, R. W., Wen, S. W., Joseph, K. S., Allen, A., Abrahamowicz, M., Blondel, B., Bréart, G., & for the Fetal/Infant Health Study Group of the Canadian Perinatal Surveillance System (2001) · Pediatrics · doi:10.1542/peds.108.2.e35 · Cited by 1,524
Agostoni, C., Buonocore, G., Carnielli, V., De Curtis, M., Darmaun, D., Decsi, T., Domellöf, M., Embleton, N., Fusch, C., Genzel‐Boroviczeny, O., et al. (2010) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e3181adaee0 · Cited by 1,489
Oken, E., Kleinman, K. P., Rich-Edwards, J., & Gillman, M. W. (2003) · BMC Pediatrics · doi:10.1186/1471-2431-3-6 · Cited by 940
New Intrauterine Growth Curves Based on United States Data
Olsen, I. E., Groveman, S. A., Lawson, M. L., Clark, R. H., & Zemel, B. S. (2010) · Pediatrics · doi:10.1542/peds.2009-0913 · Cited by 867
Cited by
de Araújo, T. V. B., Ximenes, R. A. D. A., Miranda-Filho, D. D. B., Souza, W. V., Montarroyos, U. R., de Melo, A. P. L., Valongueiro, S., de Albuquerque, M. D. F. P. M., Braga, C., Filho, S. P. B., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30727-2 · Cited by 384
Villar, J., Giuliani, F., Bhutta, Z. A., Bertino, E., Ohuma, E. O., Ismail, L. C., Barros, F. C., Altman, D. G., Victora, C., Noble, J. A., et al. (2015) · The Lancet Global Health · doi:10.1016/s2214-109x(15)00163-1 · Cited by 357
Emerging Role of Zika Virus in Adverse Fetal and Neonatal Outcomes
Panchaud, A., Stojanov, M., Ammerdorffer, A., Vouga, M., & Baud, D. (2016) · Clinical Microbiology Reviews · doi:10.1128/cmr.00014-16 · Cited by 171
Lower versus Higher Glycemic Criteria for Diagnosis of Gestational Diabetes
Crowther, C. A., Samuel, D., McCowan, L. M. E., Edlin, R., Tran, T., & McKinlay, C. J. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2204091 · Cited by 120
Sequential plasma angiogenic factors levels in women with suspected preeclampsia
Baltajian, K., Bajracharya, S., Salahuddin, S., Berg, A. H., Geahchan, C., Wenger, J. B., Thadhani, R., Karumanchi, S. A., & Rana, S. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2016.01.168 · Cited by 88
Metadata
- Authors
- Fenton, T. R., & Kim, J. H.
- Venue
- BMC Pediatrics
- Published
- 2013-04-20
- Volume
- 13
- Issue
- 1
- Pages
- 59-59
- ISSN
- 1471-2431 (ISSN-L)
- OpenAlex
- W2113606273
- Cited by
- 2,666
- References
- 48
- FWCI
- 12.84
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. https://app.cochat.ai/papers/10.1186/1471-2431-13-59
- The paper
- Fenton, T. R., & Kim, J. H. (2013). A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatrics. https://doi.org/10.1186/1471-2431-13-59
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
