Evidence map›Paper›PMID 33443676›Full record

ReviewCurrent pain and headache reports2021

Quantitative Sensory Testing to Predict Postoperative Pain.

Matthias Braun, Corina Bello, Thomas Riva, Christian Hönemann, Dietrich Doll, Richard D Urman, Markus M Luedi

Open access · hybridAbstract readReview
In one paragraph

Review in Current pain and headache reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Observational
  6. Article
  7. Article
  8. Article
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  12. Review
  13. Review
  14. Transitional Pain Service: An Update.Current pain and headache reports · 2024
    Review
  15. Article
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  17. Article
  18. Review
  19. Shared Decision-Making in Acute Pain Services.Current pain and headache reports · 2023
    Review
  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

7 authors at 3 institutions in 3 countries.

Matthias BraunDepartment of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
Corina BelloDepartment of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
Thomas RivaDepartment of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
Christian HönemannDepartment of Anaesthesiology, Catholic Clinics Oldenburger Münsterland gGmbH, St. Marienhospital Vechta, Teaching Hospital of the Medizinische Hochschule Hannover, Vechta, Germany.ORCID https://orcid.org/0000-0002-9658-253X
Dietrich DollDepartment of Surgery, Catholic Clinics Oldenburger Münsterland gGmbH, St. Marienhospital Vechta, Teaching Hospital of the Medizinische Hochschule Hannover, Vechta, Germany.ORCID https://orcid.org/0000-0001-9832-4545
Richard D UrmanDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.ORCID https://orcid.org/0000-0002-0516-5977
Markus M LuediDepartment of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland. Markus.Luedi2@insel.ch.ORCID http://orcid.org/0000-0002-9049-2584
University of Bern · CHMedizinische Hochschule Hannover · DEBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWe review the relevance of quantitative sensory testing (QST) in light of acute and chronic postoperative pain and associated challenges. RECENT

findingsPredicting the occurrence of acute and chronic postoperative pain with QST can help identify patients at risk and allows proactive preventive management. Generally, central QST testing, such as temporal summation of pain (TSP) and conditioned pain modulation (CPM), appear to be the most promising modalities for reliable prediction of postoperative pain by QST. Overall, QST testing has the best predictive value in patients undergoing orthopedic procedures. Current evidence underlines the potential of preoperative QST to predict postoperative pain in patients undergoing elective surgery. Implementing QST in routine preoperative screening can help advancing traditional pain therapy toward personalized perioperative pain medicine.

Indexed as

HumansPain ManagementPain ThresholdPostoperative PainPostsynaptic Potential SummationRisk AssessmentAcute postoperative painPersistent postoperative painQuantitative sensory testing

Identifiers

PMID33443676
PMCPMC7808998
OpenAlexW3119131774

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.