Evidence map›Paper›PMID 37476301›Full record

ReviewCureus2023

The Fate of Cervical Dysplastic Lesions during Pregnancy and the Impact of the Delivery Mode: A Review.

Shirin Dasgupta

Abstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Cervical intraepithelial neoplasia and cervical cytology in pregnancy.Journal of pathology and translational medicine · 2024
    Review
  4. Review
  5. 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

1 author.

Shirin DasguptaDr. B. C. Roy Multi Speciality Medical Research Centre, Indian Institute of Technology, Kharagpur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical dysplasia, also referred to as cervical intraepithelial neoplasia (CIN) or squamous intraepithelial lesion (SIL), is the precursor lesion of cervical carcinoma. Therefore, its diagnosis is vital for early detection and inhibiting the development of cervical carcinogenesis. Human papillomavirus (HPV) is the most common aetiology of cervical cancer and this infection mainly affects young women of childbearing age, thus affecting pregnant women as well. It is essential to know how CIN progresses in pregnant patients because the management of pregnant and non-pregnant patients is different (considering the safety of both mother and child in pregnancy). This review intends to highlight the studies which have assessed the rates of progression of CIN diagnosed in pregnancy throughout the antenatal period and the impact of the mode of delivery on CIN outcomes. We searched PubMed/MEDLINE and Google Scholar databases for relevant articles. Many studies indicate that the rate of progression of these lesions is very slow during the tenure of pregnancy; many also report postpartum regression of these lesions. Thus, in most of these patients, management can be safely implemented in the postpartum period while just keeping them under observation in the antenatal period. However, patients with high-grade CIN have a higher chance of developing invasive cancer and, therefore, require careful monitoring. There is a dispute regarding the role of the mode of delivery in determining the fate of cervical dysplasia. While some studies supported vaginal births over caesarean sections, others did not find any difference between the two in defining the outcome of the dysplastic lesions.

Indexed as

cervical dysplasiacervical intraepithelial neoplasiamode of deliverypostpartum regressionrate of progression

Identifiers

PMID37476301
PMCPMC10355337

What OpenQuestion holds

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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.