Evidence map›Paper›PMID 26131322›Full record

ReviewWorld journal of diabetes2015

Diagnostic and prognostic utility of non-invasive imaging in diabetes management.

Cristina Barsanti, Francesca Lenzarini, Claudia Kusmic

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% 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, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Epigenetic basis of diabetic vasculopathy.Frontiers in endocrinology · 2022
    Review
  6. Recent Advances in Gene Therapy for Cancer Theranostics.Current opinion in biomedical engineering · 2021
    Article
  7. Inulin and Its Application in Drug Delivery.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  8. Optoacoustic imaging in endocrinology and metabolism.Nature reviews. Endocrinology · 2021
    Review
  9. 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

3 authors at 1 institution in 1 country.

Cristina BarsantiCristina Barsanti, Francesca Lenzarini, Claudia Kusmic, Institute of Clinical Physiology, Italian National Research Council, 56124 Pisa, Italy.
Francesca LenzariniCristina Barsanti, Francesca Lenzarini, Claudia Kusmic, Institute of Clinical Physiology, Italian National Research Council, 56124 Pisa, Italy.
Claudia KusmicCristina Barsanti, Francesca Lenzarini, Claudia Kusmic, Institute of Clinical Physiology, Italian National Research Council, 56124 Pisa, Italy.
National Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical imaging technologies are acquiring an increasing relevance to assist clinicians in diagnosis and to guide management and therapeutic treatment of patients, thanks to their non invasive and high resolution properties. Computed tomography, magnetic resonance imaging, and ultrasonography are the most used imaging modalities to provide detailed morphological reconstructions of tissues and organs. In addition, the use of contrast dyes or radionuclide-labeled tracers permits to get functional and quantitative information about tissue physiology and metabolism in normal and disease state. In recent years, the development of multimodal and hydrid imaging techniques is coming to be the new frontier of medical imaging for the possibility to overcome limitations of single modalities and to obtain physiological and pathophysiological measurements within an accurate anatomical framework. Moreover, the employment of molecular probes, such as ligands or antibodies, allows a selective in vivo targeting of biomolecules involved in specific cellular processes, so expanding the potentialities of imaging techniques for clinical and research applications. This review is aimed to give a survey of characteristics of main diagnostic non-invasive imaging techniques. Current clinical appliances and future perspectives of imaging in the diagnostic and prognostic assessment of diabetic complications affecting different organ systems will be particularly addressed.

Indexed as

DiabetesDiabetic complicationsHybrid scannersMedical non-invasive imagingMolecular imagingMultimodal imaging

Identifiers

PMID26131322
PMCPMC4478576
OpenAlexW2114244304

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.