Evidence map›Paper›PMID 26222851›Full record

ArticleMedicine2015

Plasma Cardiotrophin-1 as a Marker of Hypertension and Diabetes-Induced Target Organ Damage and Cardiovascular Risk.

Luis Gamella-Pozuelo, Isabel Fuentes-Calvo, Manuel A Gómez-Marcos, José I Recio-Rodriguez, Cristina Agudo-Conde, José L Fernández-Martín, Jorge B Cannata-Andía, José M López-Novoa, Luis García-Ortiz, Carlos Martínez-Salgado

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-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

21 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
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  6. Association of serum transforming growth factor βEuropean journal of pediatrics · 2023
    Article
  7. Article
  8. Article
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  13. Article
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  15. Circulating Cardiac Biomarkers in Diabetes Mellitus: A New Dawn for Risk Stratification-A Narrative Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Diagnostic approaches for diabetic cardiomyopathy.Cardiovascular diabetology · 2017
    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

10 authors at 2 institutions in 1 country.

Luis Gamella-PozueloFrom the Unidad de Fisiopatología Renal y Cardiovascular (LG-P, IF-C, JML-N, CM-S), Departamento de Fisiología y Farmacología, Instituto Reina Sofía de Investigación Nefrológica, Universidad de Salamanca, Salamanca; Instituto de Investigación Biomédica de Salamanca (IBSAL) (IF-C, MAG-M, JIR-R, CA-C, JML-N, LG-O, CM-S), Salamanca; Unidad de Investigación (MAG-M, JIR-R, CA-C, LG-O), Centro de Salud La Alamedilla, SACYL, Salamanca; Servicio de Metabolismo Óseo y Mineral (JLF-M, JBC-A), Instituto Reina Sofía de Investigación Nefrológica, Hospital Universitario Central de Asturias, Oviedo; and Instituto de Estudios de Ciencias de la Salud de Castilla y León (IECSCYL) (CM-S), Unidad de Investigación, Hospital Universitario de Salamanca, Salamanca, Spain.
Isabel Fuentes-Calvo
Manuel A Gómez-Marcos
José I Recio-Rodriguez
Cristina Agudo-Conde
José L Fernández-Martín
Jorge B Cannata-Andía
José M López-Novoa
Luis García-Ortiz
Carlos Martínez-Salgado
Universidad de Salamanca · ESUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for biomarkers of hypertension and diabetes-induced damage to multiple target organs is a priority. We analyzed the correlation between plasma cardiotrophin-1 (CT-1), a chemokine that participates in cardiovascular remodeling and organ fibrosis, and a wide range of parameters currently used to diagnose morphological and functional progressive injury in left ventricle, arteries, and kidneys of diabetic and hypertensive patients, in order to validate plasma levels of CT-1 as clinical biomarker.This is an observational study with 93 type 2-diabetic patients, 209 hypertensive patients, and 82 healthy controls in which we assessed the following parameters: plasma CT-1, basal glycaemia, systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), left ventricular hypertrophy (LVH by electrocardiographic indexes), peripheral vascular disease (by pulse wave velocity-PWV, carotid intima-media thickness-C-IMT, and ankle-brachial index-ABI), and renal impairment (by microalbuminuria, albumin/creatinine urinary ratio, plasma creatinine concentrations, and glomerular filtration rate).Hypertensive or diabetic patients have higher plasma CT-1 than control patients. CT-1 positively correlates with basal glycaemia, SBP, DBP, PP, LVH, arterial damage (increased IMT, decreased ABI), and early renal damage (microalbuminuria, elevated albumin/creatinine ratio). CT-1 also correlates with increased 10-year cardiovascular risk. Multiple linear regression analysis confirmed that CT-1 was associated with arterial injury assessed by PWV, IMT, ABI, and cardiac damage evaluated by Cornell voltage duration product.Increases in plasma CT-1 are strongly related to the intensity of several parameters associated to target organ damage supporting further investigation of its diagnostic capacity as single biomarker of cardiovascular injury and risk and, possibly, of subclinical renal damage.

Indexed as

BiomarkersCardiovascular DiseasesCarotid Intima-Media ThicknessCytokinesDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleHumansHypertensionMaleMiddle AgedMorbidityPrognosisPulse Wave AnalysisRetrospective StudiesRisk AssessmentBiomarkerscardiotrophin 1Cytokines

Identifiers

PMID26222851
PMCPMC4554114
OpenAlexW2332775909

What OpenQuestion holds

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LicenceCC BY-ND
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.