Evidence map›Paper›PMID 38308707›Full record

ArticleAnnals of hematology2024

Conditional survival to assess prognosis in patients with chronic lymphocytic leukemia.

Pascal Schlosser, Annett Schiwitza, Jonas Klaus, Stefanie Hieke-Schulz, Katarzyna Szarc Vel Szic, Justus Duyster, Martin Trepel, Katja Zirlik, Martin Schumacher, Rainer Claus

Abstract read
In one paragraph

Article in Annals of hematology, 2024. 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
–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

3 citing papers in PubMed.

  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

10 authors.

Pascal Schlosser *Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-8460-0462
Annett Schiwitza *Hematology/Oncology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.ORCID http://orcid.org/0000-0003-1895-4227
Jonas KlausDepartment of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany.
Stefanie Hieke-SchulzInstitute of Medical Biometry and Medical Informatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Katarzyna Szarc Vel SzicDepartment of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany.
Justus DuysterDepartment of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany.
Martin TrepelHematology/Oncology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Katja ZirlikDepartment of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany.
Martin SchumacherInstitute of Medical Biometry and Medical Informatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Rainer ClausHematology/Oncology, Faculty of Medicine, University of Augsburg, Augsburg, Germany. rainer.claus@uk-augsburg.de.ORCID http://orcid.org/0000-0003-2617-8766

Funding

Deutsche Forschungsgemeinschaft 1050086601Deutsche Forschungsgemeinschaft 431984000Deutsche Forschungsgemeinschaft 523737608Deutsche Krebshilfe 110461
6 · The paper itself

Abstract

Biomarkers in chronic lymphocytic leukemia (CLL) allow assessment of prognosis. However, the validity of current prognostic biomarkers based on a single assessment point remains unclear for patients who have survived one or more years. Conditional survival (CS) studies that address how prognosis may change over time, especially in prognostic subgroups, are still rare. We performed CS analyses to estimate 5-year survival in 1-year increments, stratified by baseline disease characteristics and known risk factors in two community-based cohorts of CLL patients (Freiburg University Hospital (n = 316) and Augsburg University Hospital (n = 564)) diagnosed between 1984 and 2021. We demonstrate that 5-year CS probability is stable (app. 75%) for the entire CLL patient cohort over 10 years. While age, sex, and stage have no significant impact on CS, patients with high-risk disease features such as non-mutated IGHV, deletion 17p, and high-risk CLL-IPI have a significantly worse prognosis at diagnosis, and 5-year CS steadily decreases with each additional year survived. Our results confirm that CLL patients have a stable survival probability with excess mortality and that the prognosis of high-risk CLL patients declines over time. We infer that CS-based prognostic information is relevant for disease management and counseling of CLL patients.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellBiomarkersHumansMutationPrognosisSurvival AnalysisBiomarkersCLLConditional survivalIGHV mutation statusMortalityPrognostic biomarker

Identifiers

PMID38308707
PMCPMC11009732

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Registered trials

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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.