Evidence map›Paper›PMID 29441480›Full record

ArticleInternational urology and nephrology2018

Prognostic value of cardiovascular calcifications in hemodialysis patients: a longitudinal study.

Nada Dimkovic, Georg Schlieper, Aleksandar Jankovic, Zivka Djuric, Marcus Ketteler, Tatjana Damjanovic, Petar Djuric, Jelena Marinkovic, Zoran Radojcic, Natasa Markovic and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cardiovascular disease in dialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018 · on this map
    Review
  7. 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

11 authors at 4 institutions in 2 countries.

Nada DimkovicSchool of Medicine, University of Belgrade, Belgrade, Serbia. dim@eunet.rs.ORCID http://orcid.org/0000-0002-9553-777X
Georg SchlieperDepartment of Nephrology and Clinical Immunology, RWTH Aachen University, Aachen, Germany.
Aleksandar JankovicClinical Department for Renal Diseases, Zvezdara University Medical Center, Dimitrija Tucovica 161, Belgrade, 11000, Serbia.
Zivka DjuricClinical Department for Renal Diseases, Zvezdara University Medical Center, Dimitrija Tucovica 161, Belgrade, 11000, Serbia.
Marcus KettelerKlinikum Coburg GmbH, Coburg, Germany.
Tatjana DamjanovicClinical Department for Renal Diseases, Zvezdara University Medical Center, Dimitrija Tucovica 161, Belgrade, 11000, Serbia.
Petar DjuricClinical Department for Renal Diseases, Zvezdara University Medical Center, Dimitrija Tucovica 161, Belgrade, 11000, Serbia.
Jelena MarinkovicSchool of Medicine, Institute of Medical Statistics and Informatics, University of Belgrade, Belgrade, Serbia.
Zoran RadojcicLaboratory for Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia.
Natasa MarkovicClinical Department for Renal Diseases, Zvezdara University Medical Center, Dimitrija Tucovica 161, Belgrade, 11000, Serbia.
Jürgen FloegeDepartment of Nephrology and Clinical Immunology, RWTH Aachen University, Aachen, Germany.
Kliničko Bolnički Centar Zvezdara · RSUniversity of Belgrade · RSRWTH Aachen University · DEKlinikum Coburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCardiovascular calcifications (CVC) are present in up to 70% of non-diabetic dialysis patients. Sparse data are available on predictors of very long-term outcomes of such patients. The Belgrade Aachen Study on Calcification in Hemodialysis patients (BASCH study) aimed to study this using a comprehensive CVC assessment.

methodsWe prospectively analyzed 220 hemodialysis patients followed for a mean of 76 months (median 73 months, range 6-160 months). We compared patients deceased from cardiovascular diseases (CVD) and survivors. Analyses included composite calcification scores (determined by combining ultrasound and X-ray analyses), demographic, clinical and laboratory data and pulse wave velocity (PWV). For survival analysis, patients were divided into group according to quartiles (Q).

resultsCompared to survivors, deceased patients from CVD were significantly older, more frequently hypertensive, had shorter dialysis times per week and lower Kt/V values, and they exhibited lower serum fetuin A, osteoprotegerin and hemoglobin as well as higher CRP levels. Composite calcification and Adragao scores were significantly higher in deceased patients from CVD as was PWV. Mean survival was 101 ± 47 months (Q1), 87 ± 51 month (Q2), 66 ± 48 (Q3) and 54 ± 45 months (Q4), p = 0.000. Cox multivariate regression analysis showed that independent predictors for cardiovascular mortality were composite calcification score in the range of third and fourth quartiles.

conclusionComposite calcification score emerged as significant predictors of long-term survival in our group of largely non-diabetic dialysis patient population, finding that should be confirmed by intervention studies.

Indexed as

AdultAgedAortic ValveCalcinosisCardiovascular DiseasesCarotid Artery DiseasesFemaleHeart Valve DiseasesHumansKaplan-Meier EstimateKidney Failure, ChronicLongitudinal StudiesMaleMiddle AgedMitral ValvePrognosisCalcification inhibitorsCalcification promotersCardiovascular calcificationsHemodialysisLong-term survival

Identifiers

PMID29441480
OpenAlexW2791402579

What OpenQuestion holds

Textmetadata
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.