Evidence map›Paper›PMID 40235159›Full record

SynthesisMaternal & child nutrition2025

The Effect of Maternal Haemoglobinopathies and Iron Deficiency Anaemia on Foetal Growth Restriction: A Systematic Review and Meta-Analysis.

Rajeev Jayalakshmi, Shilpa Gaidhane, Suhas Ballal, Sanjay Kumar, Mahakshit Bhat, Shilpa Sharma, M Ravi Kumar, Sarvesh Rustagi, Mahalaqua Nazli Khatib, Nishant Rai and 5 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Maternal & child nutrition, 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
  2. Observational
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

15 authors.

Rajeev JayalakshmiDepartment of Public Health and Community Medicine, Central University of Kerala, Tejaswini Hills, Periye, Kasaragod, Kerala, India.
Shilpa GaidhaneOne Health Centre, Datta Meghe Institute of Higher Education, Jawaharlal Nehru Medical College, Wardha, India.
Suhas BallalDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Sanjay KumarDepartment of Allied Healthcare and Sciences, Vivekananda Global University, Jaipur, Rajasthan, India.
Mahakshit BhatDepartment of Medicine, National Institute of Medical Sciences, NIMS University Rajasthan, Jaipur, India.
Shilpa SharmaChandigarh Pharmacy College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab, India.
M Ravi KumarDepartment of Chemistry, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
Sarvesh RustagiSchool of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India.
Mahalaqua Nazli KhatibDivision of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India.
Nishant RaiDepartment of Biotechnology, Graphic Era (Deemed to be University), Dehradun, India.
Sanjit SahDepartment of Paediatrics, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed-to-be University), Pune, Maharashtra, India.
Sorabh LakhanpalSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India.ORCID 0000-0001-8375-4702
Hashem Abu SerhanDepartment of Ophthalmology, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-2953-2188
Ganesh BushiCenter for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospital, Saveetha University, Chennai, India.
Muhammed ShabilUniversity Center for Research and Development, Chandigarh University, Mohali, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal anaemia is a significant global health issue that adversely affects both maternal and foetal outcomes, particularly, intrauterine growth restriction (IUGR). This systematic review and meta-analysis aimed to consolidate existing evidence on the impact of maternal anaemia on the risk of IUGR. We conducted a comprehensive search across PubMed, Embase, Cochrane and Web of Science until 28 February 2024. Eligible studies included observational designs that reported maternal anaemia and its association with IUGR or small for gestational age (SGA) outcomes. The pooled odds ratios (ORs) were calculated using a random-effects model and heterogeneity was assessed with the I² statistic. The R software (version 4.3) was used for statistical analyses. A total of 38 studies involving 3,871,849 anaemic and 27,978,450 non-anaemic pregnant women were included. The pooled analysis demonstrated that anaemia in pregnancy is associated with a significantly increased risk of IUGR (OR = 1.30, 95% CI: 1.05-1.62, I² = 97%). Subgroup analyses by anaemia severity showed non-significant associations for mild (OR = 0.84, 95% CI: 0.58-1.23) and moderate anaemia (OR = 0.98, 95% CI: 0.48-1.98), while severe anaemia indicated a higher, though non-significant, risk of IUGR (OR = 1.42, 95% CI: 0.69-2.93). Maternal anaemia is associated with a heightened risk of IUGR, highlighting the critical need for effective management and early intervention strategies within prenatal care settings. Future research should focus on elucidating the effects of different severities of anaemia on birth outcomes, including IUGR and long-term effects later in life.

Indexed as

Anemia, Iron-DeficiencyFetal Growth RetardationHemoglobinopathiesPregnancy Complications, HematologicFemaleHumansInfant, NewbornInfant, Small for Gestational AgePregnancyanaemiagood health and well‐beingintrauterine growth restrictionmeta‐analysis

Identifiers

PMID40235159
PMCPMC12150161

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.