Evidence map›Paper›PMID 33933109›Full record

ArticleJournal of cardiothoracic surgery2021

The predictive value of creatinine clearance for mortality in patients undergoing revascularization.

Eilon Ram, Pazit Beckerman, Amit Segev, Nir Shlomo, Abigail Atlas-Lazar, Leonid Sternik, Ehud Raanani

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

7 authors.

Eilon RamDepartment of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, 52621, Tel Hashomer, Israel. eilon.ram@sheba.health.gov.il.ORCID http://orcid.org/0000-0003-3292-821X
Pazit BeckermanSheba Medical Center, affiliated to the Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Amit SegevSheba Medical Center, affiliated to the Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Nir ShlomoSheba Medical Center, affiliated to the Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Abigail Atlas-LazarMaccabi Health Services, Tel Aviv, Israel.
Leonid SternikDepartment of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, 52621, Tel Hashomer, Israel.
Ehud RaananiDepartment of Cardiac Surgery, Leviev Cardiothoracic and Vascular Center, 52621, Tel Hashomer, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal function plays a significant role in the prognosis and management of patients with multi-vessel coronary artery disease (CAD) referred for revascularization. Current data lack precise risk stratification using estimated glomerular filtration rate (eGFR) and creatinine clearance.

methodsThis prospective study includes a three-year follow-up of 1112 consecutive patients with multi-vessel CAD enrolled in the 22 hospitals in Israel that perform coronary angiography.

resultsThe Mayo formula yielded the highest mean eGFR (90 ± 26 mL/min per 1.73m

conclusionsOur data suggest that while the Mayo formula is not currently recommended by any nephrology guidelines, it may be an alternative formula to predict mortality among patients with multivessel CAD, including to the widely used MDRD formula.

Indexed as

AgedCoronary AngiographyCoronary Artery DiseaseCreatinineFemaleFollow-Up StudiesGlomerular Filtration RateHumansIsraelKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisMyocardial RevascularizationPredictive Value of TestsPrognosisCreatinineCreatinine clearanceGlomerular filtration rateIschemic heart diseaseRenal function

Identifiers

PMID33933109
PMCPMC8088555

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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.