Evidence map›Paper›PMID 28974744›Full record

ArticleScientific reports2017

Variations of parathyroid hormone and bone biomarkers are concordant only after a long term follow-up in hemodialyzed patients.

Pierre Delanaye, Xavier Warling, Martial Moonen, Nicole Smelten, François Jouret, Jean-Marie Krzesinski, Nicolas Maillard, Hans Pottel, Etienne Cavalier

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 4 institutions in 2 countries.

Pierre DelanayeDivision of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman (ULg CHU), Liège, Belgium. pierre_delanaye@yahoo.fr.
Xavier WarlingDivision of Nephrology-Dialysis, Centre Hospitalier Régionale (CHR) « La Citadelle », Liège, Belgium.
Martial MoonenDivision of Nephrology-Dialysis, Centre Hospitalier Régionale (CHR) « La Citadelle », Liège, Belgium.
Nicole SmeltenDivision of Nephrology-Dialysis, Centre Hospitalier Bois de l'Abbaye et de Hesbaye (CHBAH), Seraing, Belgium.
François JouretDivision of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman (ULg CHU), Liège, Belgium.
Jean-Marie KrzesinskiDivision of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman (ULg CHU), Liège, Belgium.
Nicolas MaillardDivision of Nephrology-Dialysis-Transplantation, Hôpital Nord, University Jean Monnet, Saint Etienne, France.
Hans PottelDivision of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium.
Etienne CavalierDivision of Clinical Chemistry, University of Liège (ULg CHU), Liège, Belgium.
University of Liège · BECentre hospitalier régional de la Citadelle · BEKU Leuven · BEUniversité Jean Monnet · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

End-stage renal disease is associated with mineral and bone disorders. Guidelines recommending therapies should be based on serial assessments of biomarkers, and thus on variations (Δ), rather than scattered values. We analyzed the correlations between ΔPTH and Δbone biomarkers such as bone-specific alkaline phosphatase (b-ALP), Beta-CrossLaps (CTX), osteocalcin, intact serum procollagen type-1 N-propeptide (P1NP), and tartrate-resistant acid phosphatase 5B (TRAP-5B) at different time-points. In this prospective observational analysis, variations of biomarkers were followed after 6-week (n = 129), 6-month (n = 108) and one-year (n = 93) period. Associations between variations were studied by univariate linear regression. Patients followed for one-year period were classified (increaser or decliner) according to variations reaching the critical difference. Over the 6-week period, only ΔCTX was correlated with ΔPTH (r = 0.38, p < 0.0001). Over the one-year period, correlations between ΔPTH and Δbone biomarkers became significant (r from 0.23 to 0.47, p < 0.01), except with ΔTRAP-5b. Correlations between Δbone biomarkers were all significant after one-year period (r from 0.31 to 0.68, p < 0.01), except between Δb-ALP and ΔTRAP-5b. In the head-to-head classifications (decliners/increasers), the percentage of concordant patients was significantly higher over the one-year than the 6-week period. A concordance between ΔPTH and Δbone biomarkers is observed in dialysis patients, but only after a long follow-up.

Indexed as

Renal DialysisAgedAlkaline PhosphataseBiomarkersBone and BonesBone DensityBone DiseasesFemaleFollow-Up StudiesHumansKidney Failure, ChronicMaleMiddle AgedOsteocalcinPeptide FragmentsProcollagenACP5 protein, humanAlkaline PhosphataseBiomarkersOsteocalcinPeptide FragmentsProcollagenprocollagen Type I N-terminal peptideTartrate-Resistant Acid Phosphatase

Identifiers

PMID28974744
PMCPMC5626722
OpenAlexW2760646010

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.