Evidence map›Paper›PMID 33561091›Full record

ReviewBiosensors2021

Biosensors for Detection of Biochemical Markers Relevant to Osteoarthritis.

Umile Giuseppe Longo, Vincenzo Candela, Alessandra Berton, Sergio De Salvatore, Sara Fioravanti, Lucia Giannone, Anna Marchetti, Maria Grazia De Marinis, Vincenzo Denaro

Abstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Implantable biosensors for musculoskeletal health.Connective tissue research · 2022
    Review
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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

9 authors.

Umile Giuseppe LongoDepartment of Orthopedic and Trauma Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 200, Trigoria, 00128 Rome, Italy.ORCID 0000-0003-4063-9821
Vincenzo CandelaDepartment of Orthopedic and Trauma Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 200, Trigoria, 00128 Rome, Italy.
Alessandra BertonDepartment of Orthopedic and Trauma Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 200, Trigoria, 00128 Rome, Italy.ORCID 0000-0001-9767-7824
Sergio De SalvatoreDepartment of Orthopedic and Trauma Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 200, Trigoria, 00128 Rome, Italy.ORCID 0000-0002-9111-3638
Sara FioravantiResearch Unit Nursing Science, Campus Bio-Medico di Roma University, 00128 Rome, Italy.
Lucia GiannoneResearch Unit Nursing Science, Campus Bio-Medico di Roma University, 00128 Rome, Italy.
Anna MarchettiResearch Unit Nursing Science, Campus Bio-Medico di Roma University, 00128 Rome, Italy.
Maria Grazia De MarinisResearch Unit Nursing Science, Campus Bio-Medico di Roma University, 00128 Rome, Italy.
Vincenzo DenaroDepartment of Orthopedic and Trauma Surgery, Campus Bio-Medico University, Via Alvaro del Portillo, 200, Trigoria, 00128 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review aimed to assess the advantages of biosensors in detecting biomarkers for the early diagnosis of osteoarthritis (OA). OA is the most prevalent musculoskeletal disease and is a leading cause of disability and pain worldwide. The diagnosis of OA could be performed through clinical examinations and imaging only during the late stages of the disease. Biomarkers could be used for the diagnosis of the disease in the very early stages. Biosensors could detect biomarkers with high accuracy and low costs. This paper focuses on the biosensors mainly adopted to detect OA markers (electrochemical, optical, Quartz crystal microbalance, molecular and wearable biosensors). A comprehensive search on PubMed, Cochrane, CINAHL and Embase databases was conducted from the inception to November 2020. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Methodological Index for Non-Randomized Studies (MINORS) was used for quality assessment. From a total amount of 1086 studies identified, only 19 articles were eligible for this study. The main advantages of the biosensors reported were accuracy, limited cost and ease of use, compared to traditional methods (ELISA). Otherwise, due to the lack of data and the low level of evidence of the papers included, it was impossible to find significant results. Therefore, further high-quality studies are required.

Indexed as

Biosensing TechniquesBiomarkersEarly DiagnosisHumansMonitoring, PhysiologicOsteoarthritisQuartz Crystal Microbalance TechniquesBiomarkersarthritisbiomarkerbiosensorcartilageCOMPCTX-IIELISAimmunosensorosteoarthritis

Identifiers

PMID33561091
PMCPMC7912259

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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.