Evidence map›Paper›PMID 30323654›Full record

ArticleJournal of pain research2018

Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study.

Akiko Okamoto, Masaki Yamasaki, Isao Yokota, Maiko Mori, Megumi Matsuda, Yosuke Yamaguchi, Shunsuke Yamakita, Hiroshi Ueno, Teiji Sawa, Tetsuya Taguchi and 2 more

Abstract read
In one paragraph

Article in Journal of pain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Observational
  5. Review
  6. Article
  7. Multidomain postoperative recovery trajectories after lumbar and thoracolumbar spine surgery.The spine journal : official journal of the North American Spine Society · 2025
    Observational
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023
    Review
  15. Postdischarge Nausea and Vomiting and Co-occurring Symptoms in Women Following Breast Cancer Surgery.Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses · 2023
    Observational
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

12 authors.

Akiko OkamotoDepartment of Endocrinological and Breast Surgery.
Masaki YamasakiDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.
Isao YokotaDepartment of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Maiko MoriDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.
Megumi MatsudaDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.
Yosuke YamaguchiDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.
Shunsuke YamakitaDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.
Hiroshi UenoDepartment of Pain Management and Palliative Care Medicine.
Teiji SawaDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.
Tetsuya TaguchiDepartment of Endocrinological and Breast Surgery.
Toyoshi HosokawaDepartment of Pain Management and Palliative Care Medicine.
Fumimasa AmayaDepartment of Anesthesiology, ama@koto.kpu-m.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePredictive value and accuracy of the acute pain trajectory were compared with those of pain intensity at 1 day after the surgery for pain prevalence at 6 months after the surgery. MATERIALS AND

methodsFemale patients scheduled for breast cancer surgery were eligible for this study. Patients were questioned about pain intensity daily during the 7 days after surgery. Presence of pain, its location, and intensity as well as the Japanese version of the quality of the recovery-40 (QOR-40) were determined in an interview prior to and at 6 months after the surgery. Acute pain trajectory was determined by a group-based trajectory modeling analysis that was based on the pain intensity at 1-7 days after surgery. Predictive value of the acute pain trajectory for the presence of pain at 6 months after the surgery was assessed by a logistic regression model. The predictive value was compared with pain intensity at 1 day after the surgery.

resultsA total of 123 participants completed the 6-month follow-up. The three-cluster model (mild, moderate, and severe pain) was considered to be the most statistically appropriate model for the acute pain trajectory. After 6 months, 51.2% and 8.9% of participants reported pain and severe pain, respectively. Presence of pain at 6 months after the surgery was associated with poor recovery. The severe pain cluster was significantly associated with the presence of pain at 6 months after the surgery (adjusted odds ratio, 9.40;

conclusionClassification of patients according to the acute pain trajectory, when compared with the classification according to pain intensity at 1 day after the surgery, made it possible to predict with better precision those patients who will develop persistent postsurgical pain.

Indexed as

acute postsurgical painbreast cancer surgerychronic postsurgical paingroup-based trajectory analysisquality of recovery

Identifiers

PMID30323654
PMCPMC6179582

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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.