Evidence map›Paper›PMID 39465154›Full record

ArticlePeerJ2024

Association between plain ropivacaine dose and spinal hypotension for cesarean delivery: a retrospective study.

Min Li, Guohao Xie, Lihua Chu, Xiangming Fang

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Trial
  2. Trial
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

4 authors.

Min LiDepartment of Anesthesiology, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, Zhejiang, China.
Guohao XieDepartment of Anesthesiology, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, Zhejiang, China.
Lihua ChuDepartment of Anesthesiology, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, Zhejiang, China.
Xiangming FangDepartment of Anesthesiology, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Data on the association between the plain ropivacaine dose and maternal hypotension during cesarean delivery are limited. Thus, this study aimed to explore this association. Methods: This retrospective study included patients undergoing cesarean sections under spinal or combined spinal-epidural anesthesia with plain ropivacaine at The First Hospital of Fuyang, Hangzhou, China, between 2018 and 2022. Data were obtained from the anesthesia information management system. Liner trend tests were used to distinguish the linear relationship between spinal hypotension and the plain ropivacaine dose, and receiver operating characteristic curves were used to calculate the dose threshold. Logistic regression was used to adjust for confounders. Sensitivity analyses were performed to evaluate the stability of the results. The secondary outcome was vasopressor use (metaraminol and ephedrine). Results: In total, 1,219 women were included. The incidence of hypotension linearly correlated with the plain ropivacaine dose (adjusted Conclusions: The incidence of spinal-induced hypotension in women undergoing cesarean section linearly correlated with the plain ropivacaine dose. The dose threshold for hypotension risk was 17.5 mg.

Indexed as

Anesthesia, SpinalAnesthetics, LocalCesarean SectionHypotensionRopivacaineAdultAnesthesia, EpiduralAnesthesia, ObstetricalChinaDose-Response Relationship, DrugFemaleHumansPregnancyRetrospective StudiesAnesthetics, LocalRopivacaineAnesthetics LocalCesarean deliveryHypotensionRopivacaineSpinal anesthesia

Identifiers

PMID39465154
PMCPMC11512552

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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.