Evidence map›Paper›PMID 31659541›Full record

Trial reportLasers in medical science2020

Low-level laser therapy improves pain in postcesarean section: a randomized clinical trial.

Alane Macatrao Pires de Holanda Araujo, Kassio Rafael Rocha de Sena, Edson Meneses da Silva Filho, Rodrigo Pegado, Maria Thereza Albuquerque Barbosa Cabral Micussi

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Lasers in medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Low-level laser therapy for nipple trauma and pain during breastfeeding: systematic review and meta-analysis.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Pooled it
  2. Guideline
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
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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.

Alane Macatrao Pires de Holanda AraujoHealth Science Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0000-0002-3832-8808
Kassio Rafael Rocha de SenaFaculdade Estácio, Natal, RN, Brazil.
Edson Meneses da Silva FilhoFaculty of Health Science of Trairí, Graduate Program in Rehabilitation Science, Federal University of Rio Grande do Norte, Santa Cruz, RN, Brazil. meneses.edson@yahoo.com.br.ORCID http://orcid.org/0000-0002-0732-5049
Rodrigo PegadoFaculty of Health Science of Trairí, Graduate Program in Rehabilitation Science, Federal University of Rio Grande do Norte, Santa Cruz, RN, Brazil.ORCID http://orcid.org/0000-0001-9514-3300
Maria Thereza Albuquerque Barbosa Cabral MicussiHealth Science Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID http://orcid.org/0000-0003-4140-5568

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001
6 · The paper itself

Abstract

This study aimed to evaluate the effect of low-level laser therapy (LLLT) on immediate postpartum pain relief during cesarean section. A randomized, parallel controlled trial was carried out. In total, 88 women with immediate postpartum were divided into 4 groups: control group (n = 22), placebo group (n = 22), experimental group I (n = 22, dose of 4 J/cm

Indexed as

Low-Level Light TherapyAdolescentAdultCesarean SectionFemaleHumansPostoperative PainPregnancyYoung AdultAnalgesiaCesarean sectionLow-level laser therapyPhototherapy

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.