Evidence map›Paper›PMID 33171546›Full record

ArticleEuropean journal of pain (London, England)2021

Predicting long-term postsurgical pain by examining the evolution of acute pain.

Cameron R Smith, Raheleh Baharloo, Paul Nickerson, Margaret Wallace, Baiming Zou, Roger B Fillingim, Paul Crispen, Hari Parvataneni, Chancellor Gray, Hernan Prieto and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of pain (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. CE: Assessing Movement-Evoked Pain.The American journal of nursing · 2022
    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

15 authors at 2 institutions in 1 country.

Cameron R SmithDepartment of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, USA.
Raheleh BaharlooDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.
Paul NickersonDepartment of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Margaret WallaceCenter for NeuroGenetics, University of Florida, Gainesville, FL, USA.
Baiming ZouDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Roger B FillingimPain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USA.
Paul CrispenDepartment of Urology, University of Florida College of Medicine, Gainesville, FL, USA.
Hari ParvataneniDepartment of Orthopaedics and Rehabilitation, University of Florida College of Medicine, Gainesville, FL, USA.
Chancellor GrayDepartment of Orthopaedics and Rehabilitation, University of Florida College of Medicine, Gainesville, FL, USA.
Hernan PrietoDepartment of Orthopaedics and Rehabilitation, University of Florida College of Medicine, Gainesville, FL, USA.
Tiago MachucaDepartment of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Steven HughesDepartment of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Gregory MuradLillian S. Wells Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA.
Parisa RashidiDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA.
Patrick J TigheDepartment of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, USA.
University of Florida · USFlorida College · US

Funding

Finding Good TEMporal PostOperative pain Signatures (TEMPOS)R01GM114290 · NIGMS · UNIVERSITY OF FLORIDA · PI TIGHE, PATRICK J · 2015 to 2019
$2.5M
NIGMS NIH HHS R01 GM114290
6 · The paper itself

Abstract

backgroundIncreased acute postoperative pain intensity has been associated with the development of persistent postsurgical pain (PPP) in mechanistic and clinical investigations, but it remains unclear which aspects of acute pain explain this linkage.

methodsWe analysed clinical postoperative pain intensity assessments using symbolic aggregate approximations (SAX), a graphical way of representing changes between pain states from one patient evaluation to the next, to visualize and understand how pain intensity changes across sequential assessments are associated with the intensity of postoperative pain at 1 (M1) and 6 (M6) months after surgery. SAX-based acute pain transition patterns were compared using cosine similarity, which indicates the degree to which patterns mirror each other.

resultsThis single-centre prospective cohort study included 364 subjects. Patterns of acute postoperative pain sequential transitions differed between the 'None' and 'Severe' outcomes at M1 (cosine similarity 0.44) and M6 (cosine similarity 0.49). Stratifications of M6 outcomes by preoperative pain intensity, sex, age group, surgery type and catastrophising showed significant heterogeneity of pain transition patterns within and across strata. Severe-to-severe acute pain transitions were common, but not exclusive, in patients with moderate or severe pain intensity at M6.

conclusionsClinically, these results suggest that individual pain-state transitions, even within patient or procedural strata associated with PPP, may not alone offer good predictive information regarding PPP. Longitudinal observation in the immediate postoperative period and consideration of patient- and surgery-specific factors may help indicate which patients are at increased risk of PPP. SIGNIFICANCE: Symbolic aggregate approximations of clinically obtained, acute postoperative pain intraday time series identify different motifs in patients suffering moderate to severe pain 6 months after surgery.

Indexed as

Acute PainChronic PainHumansPostoperative PainPostoperative PeriodProspective Studies

Identifiers

PMID33171546
PMCPMC8628519
OpenAlexW3099373272

What OpenQuestion holds

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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.