Evidence map›Paper›PMID 40183526›Full record

ArticleEuropean journal of neurology2025

Population-Based Versus Hospital-Based Data in Amyotrophic Lateral Sclerosis-A Factor to Consider?

Johannes Dorst, Jens Dreyhaupt, Deborah Wernecke, Ulrike Weiland, Özlem Parlak, Maximilian Wiesenfarth, Zeynep Elmas, Christine Herrmann, Hansjörg Bäzner, Axel Boertlein and 16 more

Abstract readComparative Study
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Johannes DorstDepartment of Neurology, University of Ulm, Ulm, Germany.ORCID 0000-0001-6352-0909
Jens DreyhauptInstitute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.
Deborah WerneckeInstitute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.
Ulrike WeilandDepartment of Neurology, University of Ulm, Ulm, Germany.
Özlem ParlakDepartment of Neurology, University of Ulm, Ulm, Germany.
Maximilian WiesenfarthDepartment of Neurology, University of Ulm, Ulm, Germany.
Zeynep ElmasDepartment of Neurology, University of Ulm, Ulm, Germany.
Christine HerrmannDepartment of Neurology, University of Ulm, Ulm, Germany.
Hansjörg BäznerDepartment of Neurology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Axel BoertleinDepartment of Neurology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Silke DempewolfDepartment of Neurology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany.
Christian FoerchDepartment of Neurology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany.
Martin HechtDepartment of Neurology, Klinikum Kaufbeuren, Kaufbeuren, Germany.
Andreas KohlerDepartment of Neurology, Klinikum Am Gesundbrunnen Heilbronn, Heilbronn, Germany.
Christian OpherkDepartment of Neurology, Klinikum Am Gesundbrunnen Heilbronn, Heilbronn, Germany.
Katharina AlthausDepartment of Neurology, Christophsbad Goeppingen, Goeppingen, Germany.
Monika Clauer-BredtDepartment of Neurology, Christophsbad Goeppingen, Goeppingen, Germany.
Alfred LindnerDepartment of Neurology, Marienhospital Stuttgart, Stuttgart, Germany.
Wolfgang RufDepartment of Neurology, University of Ulm, Ulm, Germany.
David BrennerDepartment of Neurology, University of Ulm, Ulm, Germany.
Simon WitzelDepartment of Neurology, University of Ulm, Ulm, Germany.ORCID 0000-0003-1841-954X
Raphael S PeterInstitute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.
Joachim SchusterDepartment of Neurology, University of Ulm, Ulm, Germany.ORCID 0000-0002-9577-9541
Albert C LudolphDepartment of Neurology, University of Ulm, Ulm, Germany.
Angela RosenbohmDepartment of Neurology, University of Ulm, Ulm, Germany.
Gabriele NagelInstitute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.ORCID 0000-0001-6185-8535

Funding

Deutsche Forschungsgemeinschaft 577631
6 · The paper itself

Abstract

backgroundOver the past years, some studies in amyotrophic lateral sclerosis (ALS) have provided heterogeneous findings regarding demographic and clinical data as well as the impact of various prognostic factors. It is well known that these inconsistencies might be caused by a selection bias in hospital-based data sets. In this study, we sought to further characterize this selection bias.

methodsWe compared hospital-based data from the ALS center at Ulm University (UC; n = 3833; 1997-2021) with the population-based ALS registry Swabia (SR; n = 852; 2010-2020).

resultsPatients from UC were younger (age of onset 60.9 [IQR 52.4-68.9] vs. 65.0 [57.0-72.7]), had a higher share of males (60.5% vs. 56.3%), a longer diagnostic delay (10.5 [IQR 6.4-18.4] months vs. 6.9 [IQR 3.4-12.1] months), a higher prevalence of the "definite" category according to El Escorial diagnostic criteria (60.9% vs. 11.2%), a higher share of familial cases (12.9% vs. 6.3%), a slower progression rate (points of ALS functional rating scale revised lost per month -0.54 [IQR -1.02 to -0.28] vs. -0.79 [IQR -1.47 to -0.43]), and (among all deceased patients) a higher share of percutaneous endoscopic gastrostomy (26.7% vs. 17.7%) and non-invasive ventilation (34.3% vs. 25.3%).

conclusionsThe observed differences likely indicate a selection bias in hospital-based data, which may be attributed, among others, to the willingness to travel large distances to a specialized center, the desire to participate in clinical studies, and the attitude toward life-prolonging measures. These differences must be considered when interpreting and generalizing study results from hospital-based populations.

Indexed as

Amyotrophic Lateral SclerosisHospitalsRegistriesAgedFemaleHumansMaleMiddle AgedSelection Biasamyotrophic lateral sclerosishospital‐based datapopulation‐based dataprognosisselection bias

Identifiers

PMID40183526
PMCPMC11969567

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