Evidence map›Paper›PMID 37949878›Full record

ArticleScientific reports2023

Cystatin C based estimation of chronic kidney disease and amyotrophic lateral sclerosis in the ALS registry Swabia: associated risk and prognostic value.

Gabriele Nagel, Deborah Kurz, Raphael S Peter, Angela Rosenbohm, Wolfgang Koenig, Luc Dupuis, Hansjörg Bäzner, Axel Börtlein, Silke Dempewolf, Martin Schabet and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

19 authors at 8 institutions in 2 countries.

Gabriele NagelInstitute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany. Gabriele.nagel@uni-ulm.de.
Deborah KurzInstitute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
Raphael S PeterInstitute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
Angela RosenbohmDepartment of Neurology, Ulm University, Ulm, Germany.
Wolfgang KoenigInstitute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
Luc DupuisUniversité de Strasbourg, Inserm, UMR-S1118, Centre de Recherches en Biomédecine de Strasbourg, Strasbourg, France.
Hansjörg BäznerDepartment of Neurology, Klinikum Stuttgart, Stuttgart, Germany.
Axel BörtleinDepartment of Neurology, Klinikum Stuttgart, Stuttgart, Germany.
Silke DempewolfDepartment of Neurology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany.
Martin SchabetDepartment of Neurology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany.
Martin HechtDepartment of Neurology, Klinikum Kaufbeuren, Kliniken Ostallgäu Kaufbeuren, Kaufbeuren, Germany.
Andreas KohlerDepartment of Neurology, Klinikum am Gesundbrunnen Heilbronn, Heilbronn, Germany.
Christian OpherkDepartment of Neurology, Klinikum am Gesundbrunnen Heilbronn, Heilbronn, Germany.
Andrea NaegeleDepartment of Neurology, Christophsbad Goeppingen, Goeppingen, Germany.
Norbert SommerDepartment of Neurology, Christophsbad Goeppingen, Goeppingen, Germany.
Alfred LindnerDepartment of Neurology, Marienhospital Stuttgart, Stuttgart, Germany.
Hayrettin TumaniDepartment of Neurology, Ulm University, Ulm, Germany.
Albert C Ludolph *Department of Neurology, Ulm University, Ulm, Germany.
Dietrich Rothenbacher *Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
Helmholtz-Institute Ulm · DEUniversität Ulm · DEKlinikum Ludwigsburg · DEKlinikum Stuttgart · DESLK-Kliniken Heilbronn · DEDeutsches Herzzentrum München · DEMarienhospital Stuttgart · DEUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney function as part of metabolic changes could be associated with amyotrophic lateral-sclerosis (ALS). We investigated the associations between estimated chronic kidney disease (CKD), based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) cystatin C equation, and the risk at onset and prognostic value of CKD for ALS. Between October 2010 and June 2014, 362 ALS cases (59.4% men, mean age 65.7 years) and 681 controls (59.5% men, means age 66.3 years) were included in a population-based case-control study based on the ALS registry Swabia in Southern Germany. All ALS cases were followed-up (median 89.7 months), 317 died. Serum samples were measured for cystatin C to estimate the glomerular filtration rate (eGFR) according to the CKD-EPI equation. Information on covariates were assessed by an interview-based standardized questionnaire. Conditional logistic regression models were applied to calculate odds ratios (OR) for risk of ALS associated with eGFR/CKD stages. Time-to-death associated with renal parameters at baseline was assessed in ALS cases only. ALS cases were characterized by lower body mass index, slightly lower smoking prevalence, more intense occupational work and lower education than controls. Median serum cystatin-C based eGFR concentrations were lower in ALS cases than in controls (54.0 vs. 59.5 mL/min pro 1.73 m

Indexed as

Amyotrophic Lateral SclerosisRenal Insufficiency, ChronicAgedBiomarkersCase-Control StudiesCreatinineCystatin CFemaleGlomerular Filtration RateHumansMalePrognosisProspective StudiesRegistriesBiomarkersCreatinineCystatin C

Identifiers

PMID37949878
PMCPMC10638424
OpenAlexW4388568232

What Socratic 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 Socratic graph.