Trial reportBMC pregnancy and childbirth2023
Effect of the smartphone application on caesarean section in women with overweight and obesity: a randomized controlled trial in China.
Trial report in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- The effects of antenatal interventions on gestational weight gain in low and middle-income countries: a systematic review.BMJ global health · 2026Pooled it
- Pooled it
- Gestational weight gain and maternal immediate perinatal and postpartum outcomes in low and middle income countries: individual participant data meta-analyses.BMJ medicine · 2026Article
- Digital Lifestyle Interventions to Support Healthy Gestational Weight Gain: Scoping Review.Journal of medical Internet research · 2025Article
- Second-trimester anthropometric estimators of cesarean section: the agreement between body roundness index, body mass index, body fat percentage, and waist circumference.BMC pregnancy and childbirth · 2025Article
- Development of a Model to Predict Cesarean Delivery as the Outcome of a Failed Labor Induction in Singleton Obese Pregnant Women at Term.International journal of women's health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe rate of caesarean section (CS) is increasing worldwide. While a CS can be life-saving when medically indicated, it can cause adverse health effects for both women and children. This trial aims to evaluate the effect of the smartphone application, which aims to control the gestational weight gain, on the rate of CS in overweight and obese women.
methodsOverweight and obese primiparas (BMI ≥ 24 kg/m
resultsThere was a significant difference in CS rate, with 53.3% in the intervention group and 65.4% in the control group (P = 0.044). The difference still exists in the overweight subgroup (32.6% vs. 55.6%, P = 0.04), but disappears in the obesity subgroup (63.0% vs. 69.1%, P = 0.381). The median of gestational weight gain (GWG) of the intervention group is 8.5 kg (IQR 5.5, 11.0), which is significantly less than that of the control group (median 10.0 kg, IQR [6.0, 14.0], P = 0.008). The intervention group has significantly lower rate of postpartum hemorrhage (5.19%) than the control group (12%) (P = 0.045). There were no significant differences between the groups in gestational hypertension, gestational diabetes mellitus, neonatal asphyxia, and macrosomia.
conclusionThe smartphone assisted weight control may help reduce CS rate. The effects of the smartphone application might be via the management of gestational weight gain. TRAIL REGISTRATION: This trial was registered at Chinese Clinical Trial Registry. Registration number is ChiCTR2300068845 (retrospectively registered, 01/03/2023).
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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.