Evidence map›Paper›PMID 35321333›Full record

ReviewFrontiers in endocrinology2022

Underestimated Prediabetic Biomarkers: Are We Blind to Their Strategy?

Carla Luís, Raquel Soares, Pilar Baylina, Rúben Fernandes

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Carla LuísLaboratory of Medical & Industrial Biotechnology (LABMI)-Porto Research, Technology and Innovation Center (PORTIC), Porto, Portugal.
Raquel SoaresDepartamento de Biomedicina, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
Pilar BaylinaLaboratory of Medical & Industrial Biotechnology (LABMI)-Porto Research, Technology and Innovation Center (PORTIC), Porto, Portugal.
Rúben FernandesLaboratory of Medical & Industrial Biotechnology (LABMI)-Porto Research, Technology and Innovation Center (PORTIC), Porto, Portugal.
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 Diabetes (T2D) is currently one of the fastest growing health challenging, a non-communicable disease result of the XXI century lifestyle. Given its growing incidence and prevalence, it became increasingly imperative to develop new technologies and implement new biomarkers for early diagnosis in order to promote lifestyle changes and thus cause a setback of the disease. Promising biomarkers have been identified as predictive of T2D development; however, none of them have yet been implemented in clinical practice routine. Moreover, many prediabetic biomarkers can also represent potential therapeutical targets in disease management. Previous studies have identified the most popular biomarkers, which are being thoroughly investigated. However, there are some biomarkers with promising preliminary results with limited associated studies; hence there is still much to be understood about its mechanisms and associations in T2D pathophysiology. This work identifies and discusses the promising results of Galectin-3, Ophthalmate and Fetuin-A.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateBiomarkersHumansIncidenceLife StyleBiomarkersbiomarkersdiabetesearly diagnosisfetuin-Agalectin-3ophthalmateprediabetes

Identifiers

PMID35321333
PMCPMC8936175
OpenAlexW4221020824

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.