Evidence map›Paper›PMID 30065542›Full record

ArticleJournal of obstetrics and gynaecology of India2018

Predicting Successful Trial of Labor After Cesarean Delivery: Evaluation of Two Scoring Systems.

Mayur Dilipbhai Patel, Nandita Maitra, Purvi K Patel, Tosha Sheth, Palak Vaishnav

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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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 synthesis or guideline pooled it.

  1. Pooled it
  2. Predictive factors for vaginal delivery in pregnant women with previous cesarean section: a case-control study.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Observational
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Mayur Dilipbhai PatelDepartment of Obstetrics and Gynecology, Medical College, Baroda, Vadodara, India.
Nandita MaitraDepartment of Obstetrics and Gynecology, Medical College, Baroda, Vadodara, India.
Purvi K PatelDepartment of Obstetrics and Gynecology, Medical College, Baroda, Vadodara, India.
Tosha ShethDepartment of Obstetrics and Gynecology, Medical College, Baroda, Vadodara, India.
Palak VaishnavDepartment of Obstetrics and Gynecology, Medical College, Baroda, Vadodara, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttempting vaginal birth after cesarean section (VBAC) places women at an increased risk of complications. Trial of labor after cesarean (TOLAC) calculators aim to predict the chance of successful vaginal birth after cesarean (VBAC) based on the patient's preexisting demographic and clinical factors.

objectiveTo assess the rate of successful TOLAC using two calculators: FLAMM and the Grobman calculator, and to compare the performance of the two calculators in the successful prediction of VBAC.

methodsProspective cohort study in subjects with previous one caesarean section using well-defined inclusion and exclusion criteria.

resultsA total of 280 subjects with previous one cesarean section were enrolled. One hundred thirty-nine subjects consented for TOLAC, 90 (67%) underwent successful trial of vaginal birth, and 49 (32.8) required cesarean section. Cervical dilatation (p < 0.0001) and effacement (p < 0.0001), and any prior vaginal delivery (p < 0.02) were significantly associated with a successful outcome. At a cutoff score of 5, the sensitivity of the FLAMM score was 72% and specificity was 76%. For the Grobman calculator, the best sensitivity (69%) and specificity (67%) were seen at a cutoff score of 85%.

conclusionBoth prediction models, the FLAMM and the "close to delivery" nomogram, recommended by Grobman et al. are easy to use and could successfully estimate the chances of vaginal birth in previous caesarean, in this small cohort. The decision for women opting for TOLAC can be individualized, and patient-specific chances of success can be predicted by the use of these prediction models.

Indexed as

Previous caesareanSuccessfulTrial vaginal birth

Identifiers

PMID30065542
PMCPMC6046682

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