Evidence map›Paper›PMID 26629090›Full record

ArticleInternational journal of clinical and experimental medicine2015

Association of coronary artery disease and chronic kidney disease in Lebanese population.

Aline Milane, Georges Khazen, Nabil Zeineddine, Mazen Amro, Leila Masri, Michella Ghassibe-Sabbagh, Sonia Youhanna, Angelique K Salloum, Marc Haber, Daniel E Platt and 11 more

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. 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
0.2field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  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

21 authors at 4 institutions in 2 countries.

Aline MilaneLebanese American University Beirut, Lebanon.
Georges KhazenLebanese American University Beirut, Lebanon.
Nabil ZeineddineSchool of Medicine, Lebanese University Beirut, Lebanon.
Mazen AmroSchool of Medicine, Lebanese University Beirut, Lebanon.
Leila MasriSchool of Medicine, Lebanese University Beirut, Lebanon.
Michella Ghassibe-SabbaghLebanese American University Beirut, Lebanon.
Sonia YouhannaLebanese American University Beirut, Lebanon.
Angelique K SalloumLebanese American University Beirut, Lebanon.
Marc HaberThe Wellcome Trust Centre for Human Genetics, University of Oxford Oxford, UK.
Daniel E PlattBioinformatics and Pattern Discovery, IBM T. J. Watson Research Centre New York, NY, USA.
Jean-Baptiste CazierDepartment of Oncology, University of Oxford Roosevelt Drive, Oxford OX3 7DQ, UK.
Raed OthmanDivision of Cardiology, Department of Internal Medicine, Rafik Hariri University Hospital Beirut, Lebanon.
Samer KabbaniDivision of Cardiology, Department of Internal Medicine, Rafik Hariri University Hospital Beirut, Lebanon.
Hana SbeiteDivision of Cardiology, Department of Internal Medicine, Rafik Hariri University Hospital Beirut, Lebanon.
Youssef ChamiLebanese American University Beirut, Lebanon.
Elie ChammasSchool of Medicine, Lebanese University Beirut, Lebanon.
Hamid El BayehLebanese American University Beirut, Lebanon.
Dominique GauguierINSERM UMRS1138, Cordeliers Research Centre, 15 rue de l'Ecole de Médecine 75006 Paris, France.
Antoine B AbcheeDivision of Cardiology, Department of Internal Medicine, American University of Beirut Beirut, Lebanon.
Pierre ZallouaLebanese American University Beirut, Lebanon ; Harvard School of Public Health Boston, MA 02215, USA.
Antoine BarbariSchool of Medicine, Lebanese University Beirut, Lebanon ; Division of Nephrology, Department of Internal Medicine, Rafik Hariri University Hospital Beirut, Lebanon.
Lebanese American University · LBLebanese University · LBCentre for Human Genetics · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore evidence is emerging on the strong association between chronic kidney disease (CKD) and cardiovascular disease. We assessed the relationship between coronary artery disease (CAD) and renal dysfunction level (RDL) in a group of Lebanese patients.

methodsA total of 1268 patients undergoing cardiac catheterization were sequentially enrolled in a multicenter cross sectional study. Angiograms were reviewed and CAD severity scores (CADSS) were determined. Estimated glomerular filtration rate (eGFR) was calculated and clinical and laboratory data were obtained. CKD was defined as eGFR < 60 ml/min. Logistic regression model was performed using multivariate analysis including all traditional risk factors associated with both diseases. ANOVA and the Tukeytestswere used to compare subgroups of patients and to assess the impact of each disease on the severity of the other.

resultsAmong the 82% patients who exhibited variable degrees of CAD, 20.6% had an eGFR < 60 ml/min. Logistic regression analysis revealed a bidirectional independent association between CAD and CKD with an OR = 2.01 (P < 0.01) and an OR = 1.99 (P < 0.01) for CAD and CKD frequencies, respectively. We observed a steady increase in the CADSS mean as eGFR declined and a progressive reduction in renal function with the worsening of CAD (P < 0.05). This correlation remained highly significant despite considerable inter-patient variability and was at its highest at the most advanced stages of both diseases.

conclusionsOur results show a strong, independent and graded bidirectional relationship between CAD severity and RDL. We propose to add CAD to the list of risk factors for the development and progression of CKD.

Indexed as

Chronic kidney diseasecoronary artery diseaseLebanese population

Identifiers

PMID26629090
PMCPMC4658979
OpenAlexW2409564580

What OpenQuestion holds

Textmetadata
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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.