Evidence map›Paper›PMID 38956120›Full record

ArticleScientific reports2024

Description of pain associated with persistent postoperative pain after total knee arthroplasty.

Masayuki Koga, Akihisa Maeda, Shu Morioka

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Masayuki KogaDepartment of Neurorehabilitation, Graduate School of Health Sciences, Kio University, 4-2-2, Umaminaka, Koryo-cho, Kitakatsuragi-gun, Nara, 635-0832, Japan. kogahlio@gmail.com.ORCID 0000-0002-6854-4309
Akihisa MaedaDepartment of Rehabilitation, Kyowakai Hospital, Osaka, 564-0001, Japan.
Shu MoriokaDepartment of Neurorehabilitation, Graduate School of Health Sciences, Kio University, 4-2-2, Umaminaka, Koryo-cho, Kitakatsuragi-gun, Nara, 635-0832, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After total knee arthroplasty (TKA), approximately 20% of patients experience persistent postoperative pain (PPP). Although preoperative and postoperative pain intensity is a relevant factor, more detailed description of pain is needed to determine specific intervention strategies for clinical conditions. This study aimed to clarify the associations between preoperative and postoperative descriptions of pain and PPP. Fifty-two TKA patients were evaluated for pain intensity and description of pain preoperatively and 2 weeks postoperatively, and the intensities were compared. In addition, the relationship between pain intensity and PPP at 3 and 6 months after surgery was analyzed using a Bayesian approach. Descriptions of arthritis ("Throbbing" and "aching") improved from preoperative to 2 weeks postoperative. Several preoperative ("Shooting", "Aching", "Caused by touch", "Numbness") and postoperative ("Cramping pain") descriptors were associated with pain intensity at 3 months postoperatively, but only "cramping pain" at 2 weeks postoperatively was associated with the presence of PPP at 3 and 6 months postoperatively. In conclusion, it is important to carefully listen to the patient's complaints and determine the appropriate intervention strategy for the clinical condition during perioperative pain management.

Indexed as

Arthroplasty, Replacement, KneePostoperative PainAgedAged, 80 and overBayes TheoremFemaleHumansMaleMiddle AgedPain ManagementPain MeasurementDescription of painPersistent postoperative painTotal knee arthroplasty

Identifiers

PMID38956120
PMCPMC11219758

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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.