Evidence mapPaperPMID 23479044Full record

ArticleEndocrine2013

Does personalized diabetology overcome clinical uncertainty and therapeutic inertia in type 2 diabetes?

Katherine Esposito, Antonio Ceriello, Dario Giugliano

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  8. Observational
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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

3 authors at 3 institutions in 2 countries.

Katherine EspositoDepartment of Cardiothoracic and Respiratory Sciences, Second University of Naples, Naples, Italy.
Antonio Ceriello
Dario Giugliano
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESUniversity of Campania "Luigi Vanvitelli" · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncertainties abound in clinical management of type 2 diabetes. Sources of uncertainty specific to type 2 diabetes originate from the panoply of glycemic (HbA1c) targets, the complexity of drug therapy, the ideal sequence of drugs after metformin failure, the possible harms of anti-hyperglycemic drugs, the outcomes of treatment (surrogate versus clinical) and the hierarchy of risk factors to treat in order to prevent the vascular complications. Ironically, multiple treatment guidelines and algorithms periodically released to improve guidance may generate confusion into clinicians. Moreover, treatment algorithms cannot be truly evidence-based because of a lack of studies comparing all available treatment combination options. Personalized therapy essentially identifies patients who could have major benefits from the therapy as compared with other patients. Personalized medicine for type 2 diabetic has the potential to improve the quality health-care practice of diabetes management, but specific research is needed.

Indexed as

Precision MedicineUncertaintyCardiovascular DiseasesDiabetes Mellitus, Type 2Evidence-Based MedicineGlycated HemoglobinGoalsHumansProfessional PracticeRisk FactorsGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID23479044
OpenAlexW2075800047

What Socratic 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 Socratic graph.