Evidence map›Paper›PMID 35089538›Full record

SynthesisWorld journal of pediatrics : WJP2022

Maternal smoking status during pregnancy and low birth weight in offspring: systematic review and meta-analysis of 55 cohort studies published from 1986 to 2020.

Hong-Kun Di, Yong Gan, Kai Lu, Chao Wang, Yi Zhu, Xin Meng, Wen-Qi Xia, Min-Zhi Xu, Jing Feng, Qing-Feng Tian and 5 more

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in World journal of pediatrics : WJP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07201181 (Association of Prenatal Tobacco Exposure Verified by Maternal Urinary Cotinine With Umbilical Cord Blood Lactate, Fetal Carboxyhemoglobin, and Early Neonatal Outcomes), which is not on this map. Cited by 59 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 6 pooled it
9.9field-weighted citation impact, top 1% of its field
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.

NCT07201181 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Association of Prenatal Tobacco Exposure Verified by Maternal Urinary Cotinine With Umbilical Cord Blood Lactate, Fetal Carboxyhemoglobin, and Early Neonatal Outcomes: A Prospective Single-Center Observational Study

TypeobservationalSponsorHaseki Training and Research HospitalRan2026 to 2027Enrolled126ConditionsTobacco Smoke Pollution, Maternal Exposure During Pregnancy, Infant, Newborn, Carbon Monoxide PoisoningArmsMaternal Urinary Cotinine Assessment
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 6 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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 at 4 institutions in 2 countries.

Hong-Kun DiDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Yong GanDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Kai LuTongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chao WangDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Yi ZhuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Xin MengDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Wen-Qi XiaDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Min-Zhi XuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Jing FengDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Qing-Feng TianSchool of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Yan HeSchool of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Zhi-Qiang NieDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Jun-An LiuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
Fu-Jian SongNorwich Medical School, Faculty of Medicine and Health Science, University of East Anglia, Norwich, NR47TJ, UK. Fujian.song@uea.ac.uk.
Zu-Xun LuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China. 1986020504@hust.edu.cn.ORCID 0000-0001-8432-5109
Huazhong University of Science and Technology · CNZhengzhou University · CNTongji Hospital · CNUniversity of East Anglia · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal smoking during pregnancy may be associated with low birth weight (LBW) in offspring and global risk estimates have not been summarized previously. We aimed to systematically explore evidence regarding maternal smoking and the LBW risk in offspring globally and examine possible causes of heterogeneity across relevant studies.

methodsComprehensive search of PubMed, Ovid Embase, Ovid Medline (R), and Web of science from inception until October 2021 was carried out. A random-effects meta-analysis was used to estimate the pooled odds ratio (OR) and corresponding 95% confidence interval (CI). Restricted cubic spline analysis with three knots was used to further examine the dose-response relationship.

resultsLiterature searches yielded 4940 articles, of which 53 met inclusion criteria (comprising 55 independent studies). Maternal smoking during pregnancy was significantly associated with the risk of LBW in offspring (OR = 1.89, 95% CI = 1.80-1.98). Furthermore, an obvious dose-response relationship between the amount of cigarettes daily smoked in pregnancy and the risk of LBW in offspring was observed. The results of subgroup analyses indicated that the risk of maternal smoking on LBW was larger in more recently conducted studies (P = 0.020) and longer period of active smoking during pregnancy (P = 0.002). No evidence of publication bias was found.

conclusionsIn summary, maternal smoking in pregnancy was significantly associated with a higher risk of LBW in offspring on a global scale. The risk of maternal smoking on infant LBW seems to be increasing over time, and was higher with longer smoking duration throughout pregnancy and more cigarettes smoked daily.

Indexed as

Infant, Low Birth WeightSmokingBirth WeightCohort StudiesFamilyFemaleHumansInfant, NewbornOdds RatioPregnancyLow birth weightMaternal smokingMeta-analysisPregnancy

Identifiers

PMID35089538
OpenAlexW4210581153

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.