Evidence map›Paper›PMID 26954785›Full record

ReviewBiomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals2015

Soluble biomarkers development in osteoarthritis: from discovery to personalized medicine.

Yves Henrotin, Christelle Sanchez, Anne Cornet, Joachim Van de Put, Pierre Douette, Myriam Gharbi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Regenerative medicine for early osteoarthritis.Therapeutic advances in musculoskeletal disease · 2023
    Review
  4. Article
  5. Review
  6. Biomarkers of (osteo)arthritis.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2015
    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

6 authors.

Yves Henrotina Bone and Cartilage Research Unit, Arthropôle Liège, University of Liège, Institute of Pathology , CHU Sart-Tilman , Liège , Belgium .
Christelle Sancheza Bone and Cartilage Research Unit, Arthropôle Liège, University of Liège, Institute of Pathology , CHU Sart-Tilman , Liège , Belgium .
Anne Cornetc GIGA Tower , Liège , Belgium , and.
Joachim Van de Putc GIGA Tower , Liège , Belgium , and.
Pierre Douetted Synolyne Pharma , Herstal , Belgium.
Myriam Gharbic GIGA Tower , Liège , Belgium , and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextSpecific soluble biomarkers could be a precious tool for diagnosis, prognosis and personalized management of osteoarthritic (OA) patients.

objectiveTo describe the path of soluble biomarker development from discovery to clinical qualification and regulatory adoption toward OA-related biomarker qualification. METHODS AND

resultsThis review summarizes current guidance on the use of biomarkers in OA in clinical trials and their utility at five stages, including preclinical development and phase 1 to phase 4 trials. It also presents all the available regulatory requirements.

conclusionsThe path through the adoption of a specific soluble biomarker for OA is steep but is worth the challenge due to the benefit that it can provide.

Indexed as

AnimalsBiomarkersClinical Trials as TopicHumansOsteoarthritisPrecision MedicinePredictive Value of TestsPrognosisReproducibility of ResultsSolubilityBiomarkersClinical qualificationdrug development toolpersonalized healthcare/medicine

Identifiers

PMID26954785
PMCPMC4819845

What OpenQuestion holds

Textmetadata
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.