Evidence map›Paper›PMID 28240097›Full record

ArticleBiomarkers in medicine2017

Soluble intercellular adhesion molecule-1: a potential biomarker for pain intensity in chronic pain patients.

Benjamin Luchting, Ludwig Christian Giuseppe Hinske, Banafscheh Rachinger-Adam, Leo Anthony Celi, Simone Kreth, Shahnaz Christina Azad

Abstract read
In one paragraph

Article in Biomarkers in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Pathology of pain and its implications for therapeutic interventions.Signal transduction and targeted therapy · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. A role for pericytes in chronic pain?Current opinion in supportive and palliative care · 2018
    Review
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

6 authors.

Benjamin LuchtingDepartment of Anesthesiology & Pain Medicine, Clinic of the Ludwig-Maximilians University of Munich, Germany.
Ludwig Christian Giuseppe HinskeDepartment of Anesthesiology & Pain Medicine, Clinic of the Ludwig-Maximilians University of Munich, Germany.
Banafscheh Rachinger-AdamDepartment of Anesthesiology & Pain Medicine, Clinic of the Ludwig-Maximilians University of Munich, Germany.
Leo Anthony CeliHarvard-MIT Division of Health Science & Technology, Boston, MA 02139, USA.
Simone KrethDepartment of Anesthesiology & Pain Medicine, Clinic of the Ludwig-Maximilians University of Munich, Germany.
Shahnaz Christina AzadDepartment of Anesthesiology & Pain Medicine, Clinic of the Ludwig-Maximilians University of Munich, Germany.

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205
6 · The paper itself

Abstract

aimPain therapy is strongly guided by patients' self-reporting. However, when self-reporting is not an option, pain assessment becomes a challenge and may lead to undertreatment of painful conditions. Pain is a complex and multifactorial phenomenon. Recent work has connected pain pathophysiology also with the inflammatory system. We therefore hypothesized that pain intensity could be predicted by cytokine-levels. PATIENTS &

methodsIn this observational, single-center study, we investigated 30 serum cytokines to predict pain intensity in a screening/follow-up set of 95 chronic pain patients and controls. We then prospectively validated soluble intercellular adhesion molecule-1 (sICAM-1)'s discriminatory capability (n = 21). RESULTS &

conclusionsICAM-1 was significantly associated with patient-reported pain intensity and yielded differential serum levels in patients of varying degrees of pain intensity. Changes in pain ratings over time correlated with changes in sICAM-1 levels. Our findings suggest the possibility of a clinical use of sICAM-1 as a potential biomarker for pain intensity.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBayes TheoremBiomarkersCase-Control StudiesChronic PainCytokinesEnzyme-Linked Immunosorbent AssayFemaleHumansIntercellular Adhesion Molecule-1MaleMiddle AgedPain MeasurementBiomarkersCytokinesIntercellular Adhesion Molecule-1biomarkerchronic paincytokinesinflammationpain assessmentpain intensitypain managementpredictive modelingsICAM-1

Identifiers

PMID28240097
PMCPMC5705790

What OpenQuestion holds

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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.