Evidence map›Paper›PMID 32095748›Full record

ReviewDigital biomarkers

Need for Digital Biomarkers in Musculoskeletal Trials.

Jörg Goldhahn

Registry-linked trialAbstract readReview
In one paragraph

Review in Digital biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06666816 (Observational Study for the Identification of Fatigue and Gait Biomarkers in Populations With Neuromuscular Pathologies in the Clinical Context and Daily Life), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT06666816 recruitingnot on this map

Observational Study for the Identification of Fatigue and Gait Biomarkers in Populations With Neuromuscular Pathologies in the Clinical Context and Daily Life

TypeobservationalSponsorIRCCS Eugenio MedeaRan2017 to 2026Enrolled120ConditionsMuscular Dystrophies, Myopathies, Spinal Muscular Atrophy (SMA), Charcot Marie Tooth DiseaseArmsinapplicable
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

1 author.

Jörg GoldhahnInstitute for Translational Medicine, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain and loss of function - both problems cause patients to visit a musculoskeletal specialist. Therefore, both lead symptoms should serve as a benchmark for new therapeutic approaches. New technologies generating digital biomarkers have the potential to significantly change musculoskeletal trials. However, more work is needed to agree upon data and variable standards, to improve user friendliness, and to ensure data integrity along the whole processing way. Therefore, rigorous and systematic testing of new technological approaches is required to establish new outcome variables suitable for musculoskeletal trials. Consortia of researchers working on similar technologies and outcome variables should collaborate from the beginning to enable comparing and pooling data. Early interaction with health authorities and regulatory bodies are necessary to pave the way for a widespread use of a new technology.

Indexed as

Digital biomarkerMusculoskeletal trial

Identifiers

PMID32095748
PMCPMC7015349

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.