Evidence map›Paper›PMID 37990174›Full record

ArticleBMC pregnancy and childbirth2023

Network meta-analysis of randomized controlled trials comparing the effectiveness of different treatments in reducing amniocentesis-associated pain and anxiety.

Abdelrahman Mohamed Mahmoud, Abdallah R Allam

Open access · goldAbstract readNetwork Meta-Analysis
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 17% 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.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Abdelrahman Mohamed MahmoudFaculty of Medicine, Menoufia University, Yassin Abdelghaffar Street From Gamal Abdelnaser Street, Shebin Al-Kom, Menoufia, Egypt.
Abdallah R AllamFaculty of Medicine, Menoufia University, Yassin Abdelghaffar Street From Gamal Abdelnaser Street, Shebin Al-Kom, Menoufia, Egypt. abdallahreda89@med.menofia.edu.eg.ORCID http://orcid.org/0000-0002-4345-2096
Menoufia University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis network meta-analysis compared different methods to determine which is most efficient at lowering pain and anxiety in women undergoing amniocentesis.

methodWe looked through all published randomized controlled trials in the databases PubMed, Scopus, Web of Science, Cochrane, and EM base. Anxiety and pain were the predominant results. We used the R software version 4.2.1 to analyze the data.

resultsWe included a total of 20 studies, with sample sizes ranging from 60 to 570. Virtual reality was the most effective strategy for lowering pain during AC [MD = -1.30, 95% CI (-2.11, -0.49)]. In addition, paracetamol use was the most successful approach for lowering pain following AC [MD = -1.68, 95% CI (-1.99, -1.37)]. The use of H7 acupressure, however, was the strategy that significantly reduced anxiety following AC [SMD = -15.46, 95% CI (-17.77, -13.15)].

conclusionThe most effective method for reducing pain is the combination of virtual reality with paracetamol. Whereas, the most effective way to reduce anxiety is to combine an ice gel pack with H7 acupressure before applying AC.

Indexed as

AcetaminophenAmniocentesisAnxietyFemaleHumansPainPregnancyRandomized Controlled Trials as TopicAcetaminophenAmniocentesisAnxietyNetwork meta-analysisPain

Identifiers

PMID37990174
PMCPMC10664350
OpenAlexW4388861189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.