Evidence map›Paper›PMID 34627153›Full record

ArticleBMC cardiovascular disorders2021

Development of a target product profile for a point-of-care cardiometabolic device.

Beatrice Vetter, David Beran, Philippa Boulle, Arlene Chua, Roberto de la Tour, Lucy Hattingh, Pablo Perel, Gojka Roglic, Rangarajan Sampath, Michael Woodman and 1 more

Open access · goldAbstract readConsensus Statement
In one paragraph

Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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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

11 authors at 6 institutions in 2 countries.

Beatrice VetterFIND, 9 Chemin des Mines, 1202, Geneva, Switzerland. beatrice.vetter@finddx.org.ORCID 0000-0002-7898-472X
David BeranDivision of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals (UNIGE/HUG), Geneva, Switzerland.
Philippa BoulleMédecins Sans Frontières (MSF), Geneva, Switzerland.
Arlene ChuaMédecins Sans Frontières (MSF), Geneva, Switzerland.
Roberto de la TourMédecins Sans Frontières (MSF), Geneva, Switzerland.
Lucy HattinghLH Consulting, Berkeley, CA, USA.
Pablo PerelCentre for Global Chronic Conditions, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
Gojka RoglicDepartment for Noncommunicable Diseases, World Health Organization (WHO), Geneva, Switzerland.
Rangarajan SampathFIND, 9 Chemin des Mines, 1202, Geneva, Switzerland.
Michael WoodmanUnited Nations High Commissioner for Refugees (UNHCR), Geneva, Switzerland.
Sigiriya Aebischer PeroneDivision of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals (UNIGE/HUG), Geneva, Switzerland.
Médecins Sans Frontières · CHFIND · CHUniversity of Geneva · CHLondon School of Hygiene & Tropical Medicine · GBOffice of the United Nations High Commissioner for Refugees · CHWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionMulti-parameter diagnostic devices can simplify cardiometabolic disease diagnosis. However, existing devices may not be suitable for use in low-resource settings, where the burden of non-communicable diseases is high. Here we describe the development of a target product profile (TPP) for a point-of-care multi-parameter device for detection of biomarkers for cardiovascular disease and metabolic disorders, including diabetes, in primary care settings in low- and middle-income countries (LMICs).

methodsA draft TPP developed by an expert group was reviewed through an online survey and semi-structured expert interviews to identify device characteristics requiring refinement. The draft TPP included 41 characteristics with minimal and optimal requirements; characteristics with an agreement level for either requirement of ≤ 85% in either the survey or among interviewees were further discussed by the expert group and amended as appropriate.

resultsTwenty people responded to the online survey and 18 experts participated in the interviews. Twenty-two characteristics had an agreement level of ≤ 85% in either the online survey or interviews. The final TPP defines the device as intended to be used for basic diagnosis and management of cardiometabolic disorders (lipids, glucose, HbA1c, and creatinine) as minimal requirement, and offering an expanded test menu for wider cardiometabolic disease management as optimal requirement. To be suitable, the device should be intended for level 1 healthcare settings or lower, used by minimally trained healthcare workers and allow testing using self-contained cartridges or strips without the need for additional reagents. Throughput should be one sample at a time in a single or multi-analyte cartridge, or optimally enable testing of several samples and analytes in parallel with random access.

conclusionThis TPP will inform developers of cardiometabolic multi-parameter devices for LMIC settings, and will support decision makers in the evaluation of existing and future devices.

Indexed as

Point-of-Care SystemsPoint-of-Care TestingPrimary Health CareReagent StripsBiomarkersBlood Chemical AnalysisBlood GlucoseCardiovascular DiseasesConsensusCreatinineDelphi TechniqueDiabetes MellitusEquipment DesignGlycated HemoglobinHumansLipidsBiomarkersBlood GlucoseCreatinineGlycated Hemoglobinhemoglobin A1c protein, humanLipidsReagent StripsCardiovascular diseaseDiabetesIn vitro diagnosticsLow- and middle-income countryMedical deviceMulti-parameter devicePrimary care

Identifiers

PMID34627153
PMCPMC8501932
OpenAlexW3205010706

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.