Evidence map›Paper›PMID 39253372›Full record

ReviewEuropean journal of obstetrics & gynecology and reproductive biology: X2024

Caesarean section and respiratory system disorders in newborns.

Maryam Yeganegi, Reza Bahrami, Sepideh Azizi, Zahra Marzbanrad, Nazanin Hajizadeh, Seyed Reza Mirjalili, Maryam Saeida-Ardekani, Mohamad Hosein Lookzadeh, Kamran Alijanpour, Maryam Aghasipour and 3 more

Abstract readReview
In one paragraph

Review in European journal of obstetrics & gynecology and reproductive biology: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Neonatal Outcomes Following Preterm Birth Between 28 and 36 Weeks' Gestation in Vietnam: A Cohort Study.The Australian & New Zealand journal of obstetrics & gynaecology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Machine learning applications in placenta accreta spectrum disorders.European journal of obstetrics & gynecology and reproductive biology: X · 2025
    Review
  16. Review
  17. Article
  18. 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

13 authors.

Maryam YeganegiDepartment of Obstetrics and Gynecology, Iranshahr University of Medical Sciences, Iranshahr, Iran.
Reza BahramiNeonatal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Sepideh AziziShahid Akbarabadi Clinical Research Development Unit, Iran University of Medical Sciences, Tehran, Iran.
Zahra MarzbanradDepartment of Obstetrics and Gynecology, Firoozgar Clinical Research Development Center, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Nazanin HajizadehPrevention Gynecology Research Center, Imam Hossein hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Reza MirjaliliMother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Maryam Saeida-ArdekaniMother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mohamad Hosein LookzadehMother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Kamran AlijanpourGeneral Practitioner, Babol University of Medical Sciences, Babol, Iran.
Maryam AghasipourDepartment of Cancer Biology, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Mohammad Golshan-TaftiDepartment of Pediatrics, Islamic Azad University of Yazd, Yazd, Iran.
Mahmood NoorishadkamMother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Hossein NeamatzadehMother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cesarean section (C-section) delivery is associated with a higher risk of respiratory problems in newborns, particularly if performed electively at 37 weeks. This risk is greater than with spontaneous or induced labor but diminishes as gestation advances. To lower the incidence of respiratory issues in newborns, it is vital to promote natural labor, avoid unnecessary C-sections, and offer thorough prenatal care. Healthcare providers and expectant mothers should assess the risks and benefits of elective C-sections carefully. By advocating for natural labor and reducing unnecessary C-sections, the occurrence of respiratory problems in newborns can be decreased. Adequate prenatal care and monitoring are crucial for identifying and managing potential risk factors for respiratory diseases in newborns. It is crucial for healthcare professionals to educate expectant mothers about the risks of elective C-sections and the advantages of allowing labor to progress naturally. By fostering transparent communication and collaborative decision-making between healthcare providers and pregnant women, well-informed choices can be made that prioritize the health of both the mother and the baby. Furthermore, ongoing research and advancements in medical technology can improve our understanding of how delivery methods affect newborn respiratory health, ultimately leading to better outcomes and care practices in the future.

Indexed as

Cesarean sectionPersistent Pulmonary HypertensionRespiratory SystemTransient Tachypnea

Identifiers

PMID39253372
PMCPMC11382009

What OpenQuestion holds

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LicenceCC BY
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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.