Evidence map›Paper›PMID 36792998›Full record

ArticleBMC nephrology2023

Assessment of a serum calcification propensity test for the prediction of all-cause mortality among hemodialysis patients.

Adam M Zawada, Melanie Wolf, Abraham Rincon Bello, Rosa Ramos-Sanchez, Sara Hurtado Munoz, Laura Ribera Tello, Josep Mora-Macia, M Amparo Fernández-Robres, Jordi Soler-Garcia, Josep Aguilera Jover and 5 more

Abstract read
In one paragraph

Article in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. The formation and function of calciprotein particles.Pflugers Archiv : European journal of physiology · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. 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

15 authors.

Adam M ZawadaFresenius Medical Care Deutschland GmbH, Else-Kroener-Str. 1, 61352, Bad Homburg, Germany.
Melanie WolfFresenius Medical Care Deutschland GmbH, Else-Kroener-Str. 1, 61352, Bad Homburg, Germany. melanie.wolf@fmc-ag.com.
Abraham Rincon BelloFresenius Medical Care España, S.A, Tres Cantos, Madrid, Spain.
Rosa Ramos-SanchezFresenius Medical Care España, S.A, Tres Cantos, Madrid, Spain.
Sara Hurtado MunozFresenius Medical Care Services Cataluña, S.L, Barcelona, Spain.
Laura Ribera TelloFresenius Medical Care Services Cataluña, S.L, Barcelona, Spain.
Josep Mora-MaciaFresenius Medical Care Services Cataluña, S.L, Barcelona, Spain.
M Amparo Fernández-RobresFresenius Medical Care Services Cataluña, S.L, Barcelona, Spain.
Jordi Soler-GarciaFresenius Medical Care Services Cataluña, S.L, Tarragona, Spain.
Josep Aguilera JoverFresenius Medical Care Services Cataluña, S.L, Barcelona, Spain.
Francesc MoresoFresenius Medical Care Services Cataluña, S.L, Barcelona, Spain.
Stefano StuardFresenius Medical Care Deutschland GmbH, Else-Kroener-Str. 1, 61352, Bad Homburg, Germany.
Manuela Stauss-GraboFresenius Medical Care Deutschland GmbH, Else-Kroener-Str. 1, 61352, Bad Homburg, Germany.
Anke WinterFresenius Medical Care Deutschland GmbH, Else-Kroener-Str. 1, 61352, Bad Homburg, Germany.
Bernard CanaudFresenius Medical Care Deutschland GmbH, Else-Kroener-Str. 1, 61352, Bad Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVascular calcification is a major contributor to the high cardiac burden among hemodialysis patients. A novel in vitro T50-test, which determines calcification propensity of human serum, may identify patients at high risk for cardiovascular (CV) disease and mortality. We evaluated whether T50 predicts mortality and hospitalizations among an unselected cohort of hemodialysis patients.

methodsThis prospective clinical study included 776 incident and prevalent hemodialysis patients from 8 dialysis centers in Spain. T50 and fetuin-A were determined at Calciscon AG, all other clinical data were retrieved from the European Clinical Database. After their baseline T50 measurement, patients were followed for two years for the occurrence of all-cause mortality, CV-related mortality, all-cause and CV-related hospitalizations. Outcome assessment was performed with proportional subdistribution hazards regression modelling.

resultsPatients who died during follow-up had a significantly lower T50 at baseline as compared to those who survived (269.6 vs. 287.7 min, p = 0.001). A cross-validated model (mean c statistic: 0.5767) identified T50 as a linear predictor of all-cause-mortality (subdistribution hazard ratio (per min): 0.9957, 95% CI [0.9933;0.9981]). T50 remained significant after inclusion of known predictors. There was no evidence for prediction of CV-related outcomes, but for all-cause hospitalizations (mean c statistic: 0.5284).

conclusionT50 was identified as an independent predictor of all-cause mortality among an unselected cohort of hemodialysis patients. However, the additional predictive value of T50 added to known mortality predictors was limited. Future studies are needed to assess the predictive value of T50 for CV-related events in unselected hemodialysis patients.

Indexed as

Cardiovascular DiseasesVascular CalcificationHumansProportional Hazards ModelsProspective StudiesRenal DialysisCalcificationHemodialysisHospitalizationMortality riskT50

Identifiers

PMID36792998
PMCPMC9933331

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.