Evidence map›Paper›PMID 31904743›Full record

ArticleJournal of the Chinese Medical Association : JCMA2020

Dynamic analysis of variations in postoperative pain trajectories over time in patients receiving epidural analgesia using latent curve models.

Ming-Ying Lee, Wen-Kuei Chang, Hsiang-Ling Wu, Shih-Pin Lin, Mei-Yung Tsou, Kuang-Yi Chang

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Patient-centered modeling of dynamic postoperative pain trajectories.Journal of the Chinese Medical Association : JCMA · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Ming-Ying LeeDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Wen-Kuei ChangDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Hsiang-Ling WuDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Shih-Pin LinDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Mei-Yung TsouDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Kuang-Yi ChangDepartment of Anesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
National Yang Ming Chiao Tung University · TWNational Taipei University · TWNational Yang Ming Chiao Tung University · TWYuli Veterans Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough epidural analgesia (EA) provides reliable pain relief after major operations, few studies have explored how postoperative pain trajectories change over time in patients receiving EA and the associated factors. This study aimed to model the dynamic features of pain trajectories after surgery and investigate factors associated with their variations using latent curve analysis.

methodsThis retrospective study was conducted at a single medical center in Taiwan, and data were obtained from patients receiving perioperative EA by electronic chart review. Mean numeric rating pain scores were recorded daily in the first five postoperative days. Patient demographics, surgical sites, and infusion pump settings were also collected. Latent curve models using two latent variables, intercept and slope, were developed to explain the variations in postoperative pain scores over time. The influences of potential predictors of postoperative pain trajectories were further evaluated for the final model determination.

resultsOf the 1294 collected patients, the daily pain scores averaged 2.0 to 2.9 for different surgical sites. Among the nine significant factors influencing pain trajectories, chest and lower extremity surgery tended to induce less and more baseline pain, respectively, than those with abdomen surgery (both p < 0.001). In addition, male patients and those with a shorter anesthesia time had less baseline pain (p < 0.001 and p = 0.016, respectively). The older and lighter patients and those with chest surgery or American Society of Anesthesiologists class ≥ 3 tended to have milder decreasing trends in pain trajectories. A higher infusion rate was associated with an elevated baseline level and smoother decreasing trend in pain trajectory. The final model fit our data acceptably (root mean square error of approximation = 0.05, comparative fit index = 0.97).

conclusionLatent curve analysis provided insights into the dynamic nature of variations in postoperative pain trajectories. Further studies investigating more factors associated with pain trajectories are warranted to elucidate the mechanisms behind the transitions of pain scores over time after surgery.

Indexed as

Analgesia, EpiduralAdultAgedAged, 80 and overAnalgesia, Patient-ControlledFemaleHumansMaleMiddle AgedPostoperative PainRetrospective Studies

Identifiers

PMID31904743
PMCPMC13048044
OpenAlexW2998548474

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LicenceCC BY-NC-ND
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Registered trials

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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.