Evidence map›Paper›PMID 24622281›Full record

ArticlePhysiological measurement2014

Differential diagnosis of Raynaud's phenomenon based on modeling of finger thermoregulation.

E Ismail, G Orlando, M L Corradini, P Amerio, G L Romani, A Merla

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Physiological measurement, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06924697 (Effect of Glucagon-like Peptide-1), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% 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.

NCT06924697 naenrolling by invitationstarted 2025, after this paper: background citation

Effect of Glucagon-like Peptide-1 (GLP-1) Receptor Agonist Stimulation on Smoking Consumption in Type 2 Diabetes Patients: Study Protocol of a Randomized, Parallel -Controlled Clinical Trial

Ran2025Enrolled46Registered outcomes6Posted comparisons0ConditionsDiabetes Mellitus, Type 2, Nicotine Dependence, CigarettesArmsApplication of GLP-1RAs drugs, DPP-4i group
Open the trial in the graph
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors at 3 institutions in 1 country.

E IsmailDepartment of Neuroscience and Imaging and ITAB-Institute of Advanced Biomedical Technologies, University 'G. d'Annunzio'-Chieti-Pescara, Italy.
G Orlando
M L Corradini
P Amerio
G L Romani
A Merla
University of Chieti-Pescara · ITMarche Polytechnic University · ITUniversità di Camerino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raynaud's phenomenon (RP) is a vasospastic disorder of small arteries, pre-capillary arteries, and cutaneous arteriovenous shunts of the extremities, typically induced by cold exposure and emotional stress. RP is either primary (PRP) or secondary to connective tissue diseases such as systemic sclerosis (SSc). Early differential diagnosis is crucial in order to set the proper therapeutic strategy. To this goal, thermal infrared imaging data from 18 healthy controls (HCs) and 48 RP patients (20 PRP, 28 SSc) were processed through a model for a second-order time-invariant system with exponential critically damped dynamic response. Subject classification on the basis of the model parameters provides 100% true-positive discrimination for RP patients (PRP and SSc) and healthy, and 90% of correct classification within the group of patients. The proposed method may provide useful hints for early differential diagnosis in the assessment of RP disease.

Indexed as

Body Temperature RegulationModels, BiologicalDemographyDiagnosis, DifferentialFemaleFingersHumansMaleMiddle AgedRaynaud DiseaseROC CurveTemperatureTime Factors

Identifiers

PMID24622281
OpenAlexW2000725807

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.