The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21ststandard: analysis of CHERG datasets
Open accessAbstract
Objectives To estimate small for gestational age birth prevalence and attributable neonatal mortality in low and middle income countries with the INTERGROWTH-21st birth weight standard. Design Secondary analysis of data from the Child Health Epidemiology Reference Group (CHERG), including 14 birth cohorts with gestational age, birth weight, and neonatal follow-up. Small for gestational age was defined as infants weighing less than the 10th centile birth weight for gestational age and sex with the multiethnic, INTERGROWTH-21st birth weight standard. Prevalence of small for gestational age and neonatal mortality risk ratios were calculated and pooled among these datasets at the regional level. With available national level data, prevalence of small for gestational age and population attributable fractions of neonatal mortality attributable to small for gestational age were estimated. Setting CHERG birth cohorts from 14 population based sites in low and middle income countries. Main outcome measures In low and middle income countries in the year 2012, the number and proportion of infants born small for gestational age; number and proportion of neonatal deaths attributable to small for gestational age; the number and proportion of neonatal deaths that could be prevented by reducing the prevalence of small for gestational age to 10%. Results In 2012, an estimated 23.3 million infants (uncertainty range 17.6 to 31.9; 19.3% of live births) were born small for gestational age in low and middle income countries. Among these, 11.2 million (0.8 to 15.8) were term and not low birth weight (≥2500 g), 10.7 million (7.6 to 15.0) were term and low birth weight (<2500 g) and 1.5 million (0.9 to 2.6) were preterm. In low and middle income countries, an estimated 606 500 (495 000 to 773 000) neonatal deaths were attributable to infants born small for gestational age, 21.9% of all neonatal deaths. The largest burden was in South Asia, where the prevalence was the highest (34%); about 26% of neonatal deaths were attributable to infants born small for gestational age. Reduction of the prevalence of small for gestational age from 19.3% to 10.0% in these countries could reduce neonatal deaths by 9.2% (254 600 neonatal deaths; 164 800 to 449 700). Conclusions In low and middle income countries, about one in five infants are born small for gestational age, and one in four neonatal deaths are among such infants. Increased efforts are required to improve the quality of care for and survival of these high risk infants in low and middle income countries
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
Home visits: a strategy to improve newborn survival - Authors' reply
(2008) · Americanae (AECID Library) · doi:10.1016/s0140 · Cited by 22,524
Correspondence - Tranexamic acid for traumatic brain injury
(2005) · London School of Economics and Political Science Theses Online (London School of Economics and Political Science) · doi:10.1016/s0140-6736 · Cited by 11,894
Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., AlMazroa, M. A., Amann, M., Anderson, H. R., Andrews, K. G., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61766-8 · Cited by 11,805
Self-citationBlencowe, H., Cousens, S., Oestergaard, M. Z., Chou, D., Moller, A.-B., Narwal, R., Adler, A., Vera Garcia, C., Rohde, S., Say, L., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60820-4 · Cited by 4,568
Self-citationLiu, L., Johnson, H. L., Cousens, S., Perin, J., Scott, S., Lawn, J. E., Rudan, I., Campbell, H., Cibulskis, R., Li, M., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60560-1 · Cited by 3,934
Self-citationA united states national reference for fetal growth
ALEXANDER, G., HIMES, J., KAUFMAN, R., MOR, J., & KOGAN, M. (1996) · Obstetrics & Gynecology · doi:10.1016/0029-7844(95)00386-x · Cited by 2,294
Villar, J., Ismail, L. C., Victora, C. G., Ohuma, E. O., Bertino, E., Altman, D. G., Lambert, A., Papageorghiou, A. T., Carvalho, M., Jaffer, Y. A., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60932-6 · Cited by 2,281
Self-citationEvery Newborn: progress, priorities, and potential beyond survival
Lawn, J. E., Blencowe, H., Oza, S., You, D., Lee, A. C., Waiswa, P., Lalli, M., Bhutta, Z., Barros, A. J., Christian, P., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60496-7 · Cited by 1,929
Self-citationde Onis, M., & Habicht, J. (1996) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.4.650 · Cited by 961
Katz, J., Lee, A. C., Kozuki, N., Lawn, J. E., Cousens, S., Blencowe, H., Ezzati, M., Bhutta, Z. A., Marchant, T., Willey, B. A., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60993-9 · Cited by 922
Self-citation
Cited by
The Human Microbiome and Child Growth – First 1000 Days and Beyond
Robertson, R. C., Manges, A. R., Finlay, B. B., & Prendergast, A. J. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2018.09.008 · Cited by 793
Kiserud, T., Benachi, A., Hecher, K., Perez, R. G., Carvalho, J., Piaggio, G., & Platt, L. D. (2018) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.12.010 · Cited by 228
The Lancet Small Vulnerable Newborn Series: science for a healthy start
Ashorn, P., Black, R. E., Lawn, J. E., Ashorn, U., Klein, N., Hofmeyr, J., Temmerman, M., & Askari, S. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31906-1 · Cited by 54
Self-citationGurung, S., Tong, H. H., Bryce, E., Katz, J., Lee, A. C., Black, R. E., & Walker, N. (2022) · Journal of Global Health · doi:10.7189/jogh.12.04024 · Cited by 42
Self-citationSaito, M., Carrara, V. I., Gilder, M. E., Min, A. M., Tun, N. W., Pimanpanarak, M., Viladpai-nguen, J., Paw, M. K., Haohankhunnatham, W., Konghahong, K., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-02002-8 · Cited by 25
Metadata
- Authors
- Lee, A. C., Kozuki, N., Cousens, S., Stevens, G. A., Blencowe, H., Silveira, M. F., Sania, A., Rosen, H. E., Schmiegelow, C., Adair, L. S., Baqui, A. H., Barros, F. C., Bhutta, Z. A., Caulfield, L. E., Christian, P., Clarke, S. E., Fawzi, W., Gonzalez, R., Humphrey, J., Huybregts, L., Kariuki, S., Kolsteren, P., Lusingu, J., Manandhar, D., Mongkolchati, A., Mullany, L. C., Ndyomugyenyi, R., Nien, J. K., Roberfroid, D., Saville, N., Terlouw, D. J., Tielsch, J. M., Victora, C. G., Velaphi, S. C., Watson-Jones, D., Willey, B. A., Ezzati, M., Lawn, J. E., Black, R. E., & Katz, J.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2017-08-17
- Volume
- 358
- Pages
- j3677
- ISSN
- 1756-1833 (ISSN-L)
- 0959-8138
- OpenAlex
- W2747399005
- Cited by
- 389
- References
- 51
- FWCI
- 34.50
- Type
- journal article
- Language
- en
- Update notices
- correction (2017-09-11)
- Open access
- hybrid
- Licence
- www.bmj.org/licenses/tdm/1.0/terms-and-conditions.html (tdm)
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: Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21ststandard: analysis of CHERG datasets. https://app.cochat.ai/papers/10.1136/bmj.j3677
- The paper
- Lee, A. C., Kozuki, N., Cousens, S., Stevens, G. A., Blencowe, H., Silveira, M. F., Sania, A., Rosen, H. E., Schmiegelow, C., Adair, L. S., Baqui, A. H., Barros, F. C., Bhutta, Z. A., Caulfield, L. E., Christian, P., Clarke, S. E., Fawzi, W., Gonzalez, R., Humphrey, J., . . . Katz, J. (2017). Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21ststandard: analysis of CHERG datasets. BMJ. https://doi.org/10.1136/bmj.j3677
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.
