Evidence map›Paper›PMID 33627077›Full record

Trial reportBMC pregnancy and childbirth2021

The effects of transcutaneous electrical nerve stimulation during the first stage of labor: a randomized controlled trial.

Anne Njogu, Si Qin, Yujie Chen, Lizhen Hu, Yang Luo

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07044622 (Transcutaneous Electrical Nerve Stimulation), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 2% 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.

NCT07044622 nawithdrawnnot on this mapstarted 2025, after this paper: background citation

Transcutaneous Electrical Nerve Stimulation (TENS) for Intrauterine Device (IUD) Pain

TypeinterventionalSponsorYale UniversityRan2025 to 2026Enrolled0ConditionsPainArmsTranscutaneous Electrical Nerve Stimulation (TENS)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Transcutaneous Nerve Electrostimulation (TENS) in Pain Relief During Labor: A Scope Review.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Review
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

5 authors at 2 institutions in 1 country.

Anne NjoguXiangya School of Nursing, Central South University, Changsha, China.
Si QinXiangya School of Nursing, Central South University, Changsha, China.
Yujie ChenDepartment of Nursing, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, China.
Lizhen HuDepartment of Nursing, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, China.
Yang LuoXiangya School of Nursing, Central South University, Changsha, China. ly603202@csu.edu.cn.
Central South University · CNHunan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLabor pain during childbirth can have devastating effects on the progress of labor, mother, and fetus. Consequently, the management of labor pain is crucial for the well-being of the mother and fetus. Transcutaneous electrical nerve stimulation (TENS) is a non -pharmacological analgesic technique. It uses a low-voltage electrical current to activate descending inhibitory systems in the central nervous system to relieve pain. This study aimed to determine the effects of TENS therapy in the first stage of labor.

methodsIn this single-blind randomized controlled trial, we screened low-risk pregnant women who anticipated spontaneous vaginal delivery. Women were assigned (1:1) to either the experimental group (received TENS therapy in the first stage of labor) or the control group (received routine obstetric care). The women, midwives, and researchers working in the gynecology and obstetric department were aware of the treatment group, but statisticians analysis the data were blinded. The primary outcome was labor pain intensity, assessed by visual analog scale (VAS) immediately after the randomization, at 30, 60, and 120 min after TENS therapy, and 2-24 h post-delivery. We used SPSS 21.0 software in data analysis. An independent sample t-test compared the mean VAS scores and labor duration between groups. A Chi-square test was employed to compare categorical variables between the groups. A significant level of ≤0.05 was statistically significant.

resultsA total of 326 pregnant women were eligible: experimental group (n = 161) and control group (n = 165). The experimental group had statistically significantly lower mean VAS scores at a different time (30, 60, and 120 min post-intervention and 2-24 h post-delivery) than the control group (p < 0.001). The experimental group demonstrated a statistically significant shorter duration of the active labor phase than the control group (p < 0.001).

conclusionThis study indicates that TENS can be used as a non-pharmacological therapy to reduce pain and shorten the active labor phase.

trial registrationISRCTN registry, ISRCTN23857995 . Registered on 11/12/2020, 'retrospectively registered.

Indexed as

Labor, ObstetricAdultAnalgesia, ObstetricalDelivery, ObstetricFemaleHumansLabor PainPain ManagementPain MeasurementPregnancySingle-Blind MethodTranscutaneous Electric Nerve StimulationLabor durationLabor painNon-pharmacological therapyPain relieversTranscutaneous electrical nerve stimulation

Identifiers

PMID33627077
PMCPMC7905652
OpenAlexW3131868207

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.