Evidence map›Paper›PMID 29680822›Full record

Observational studyJournal of the American Heart Association2018

Disparities in the Estimation of Glomerular Filtration Rate According to Cockcroft-Gault, Modification of Diet in Renal Disease-4, and Chronic Kidney Disease Epidemiology Collaboration Equations and Relation With Outcomes in Patients With Acute Coronary Syndrome.

José Miguel Rivera-Caravaca, Juan Miguel Ruiz-Nodar, Antonio Tello-Montoliu, María Asunción Esteve-Pastor, Miriam Quintana-Giner, Andrea Véliz-Martínez, Esteban Orenes-Piñero, Ana Isabel Romero-Aniorte, Nuria Vicente-Ibarra, Vicente Pernias-Escrig and 8 more

Abstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Trial
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  3. PMToxics · 2024
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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

18 authors.

José Miguel Rivera-CaravacaDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Juan Miguel Ruiz-NodarDepartment of Cardiology, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante, Alicante, Spain.
Antonio Tello-MontoliuDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
María Asunción Esteve-PastorDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Miriam Quintana-GinerDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Andrea Véliz-MartínezDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Esteban Orenes-PiñeroDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Ana Isabel Romero-AniorteDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Nuria Vicente-IbarraDepartment of Cardiology, Hospital General Universitario de Elche, Alicante, Spain.
Vicente Pernias-EscrigDepartment of Cardiology, Hospital General Universitario de Elche, Alicante, Spain.
Luna Carrillo-AlemánDepartment of Cardiology, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante, Alicante, Spain.
Elena Candela-SánchezDepartment of Cardiology, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante, Alicante, Spain.
Ignacio HortelanoDepartment of Cardiology, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante, Alicante, Spain.
Beatriz VillamíaDepartment of Cardiology, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante, Alicante, Spain.
Miriam Sandín-RollánDepartment of Cardiology, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria y Biomédica de Alicante, Alicante, Spain.
Laura Nuñez-MartínezDepartment of Cardiology, Hospital General Universitario de Elche, Alicante, Spain.
Mariano ValdésDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain.
Francisco MarínDepartment of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares, Murcia, Spain fcomarino@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA simple method to assess renal function is the estimated glomerular filtration rate, and it shows prognostic implications. However, it remains unknown which equation should be used in patients with acute coronary syndrome. We compared the ability and correlation of the Cockcroft-Gault, Modification of Diet in Renal Disease-4 (MDRD-4), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations and their predictive performance for major adverse cardiovascular events, all-cause mortality, and major bleeding in a cohort of patients with acute coronary syndrome. METHODS AND

resultsMulticenter prospective registry involving 1699 consecutive patients with acute coronary syndrome from 3 tertiary institutions. At entry, renal function was assessed using the Cockcroft-Gault, MDRD-4, and CKD-EPI-creatinine equations. During 12 months of follow-up, we recorded all major adverse cardiovascular events (composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal ischemic stroke), bleeding events (Bleeding Academic Research Consortium classification), and all-cause mortality. Receiver operating characteristic curve comparisons demonstrated that Cockcroft-Gault equation had higher predictive ability compared with MDRD-4 equation for major adverse cardiovascular events (0.651 versus 0.616;

conclusionsIn patients with acute coronary syndrome, the Cockcroft-Gault equation presented superior predictive ability for major adverse cardiovascular events, major bleeding, and all-cause mortality compared with MDRD-4 equation, and superior predictive ability for major bleeding compared with CKD-EPI equation. The Cockcroft-Gault equation also showed higher net benefit and clinical usefulness.

Indexed as

Decision Support TechniquesGlomerular Filtration RateModels, BiologicalAcute Coronary SyndromeAgedBiomarkersCause of DeathComorbidityCreatinineDisease ProgressionFemaleHemorrhageHumansKidneyMaleMiddle AgedBiomarkersCreatinineacute coronary syndromeglomerular filtration rate equationshemorrhageischemiarenal functionrisk stratification

Identifiers

PMID29680822
PMCPMC6015275

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.