Evidence map›Paper›PMID 40071509›Full record

ArticleEuropean journal of haematology2025

CLLAF SCORE-A New Risk Score for Predicting Atrial Fibrillation in Treatment-Naive CLL Patients Initiating First- and Second-Generation BTK Inhibitor Therapy.

Tamar Tadmor, Guy Melamed, Hilel Alapi, Lior Rokach

Abstract read
In one paragraph

Article in European journal of haematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Tamar TadmorHematology Unit, Faculty of Medicine, Bnai Zion Medical Center, and the Ruth and Bruce Rappaport, Technion, Haifa, Israel.ORCID https://orcid.org/0000-0002-3435-8612
Guy MelamedKahn Sagol Maccabi Research & Innovation Center, Maccabi Healthcare Services, Tel-Aviv, Israel.
Hilel AlapiKahn Sagol Maccabi Research & Innovation Center, Maccabi Healthcare Services, Tel-Aviv, Israel.
Lior RokachDepartment of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Funding

Kahn Segol Maccabi Reserach Innovation
6 · The paper itself

Abstract

backgroundOne of the limiting toxicities of BTKi is the development of atrial fibrillation (AF), with an incidence of 3%-16%.

aimThis study aimed to identify patients with chronic lymphocytic leukemia (CLL) starting both first- and second-generation BTKis who are at high risk of developing AF using a machine learning approach.

methodsThe CLL cohort is based on data obtained from electronic medical records from Maccabi, the second-largest healthcare organization in Israel. The optimal scoring model was determined using the Risk-calibrated Supersparse Linear Integer Model (RiskSLIM) algorithm.

resultsA total of 3964 patients with a CLL diagnosis were available in the database. Of these, 208 patients started BTKi during the study period (125 on ibrutinib and 83 on acalabrutinib), and 16 patients developed AF during follow-up. In addition to well-established factors such as age, sex, and hypertension, the algorithm detected other factors associated with a high risk for AF: type of BTKi used, low eGFR, elevated absolute monocytes (> 1100/μL), elevated CRP, elevated CK, and elevated B2MG (> 2.5 mg/L). Based on the total AF-free survival (AFS), we identified three main risk groups: low (0-6), intermediate (7-11) and high (≥ 12). The median AF-free survival (AFS) was 28 and 56 months for the high-risk and intermediate-risk groups, respectively, and was not reached for the low-risk group. The difference between the groups was statistically significant (p = 0.0013).

conclusionOur novel score has a high concordance index for predicting the development of AF in patients with CLL treated with first- and second-generation BTKis. It combines age, sex, medical history, and laboratory tests associated with inflammatory status and disease burden and can be applied in clinical settings worldwide.

Indexed as

Atrial FibrillationLeukemia, Lymphocytic, Chronic, B-CellProtein Kinase InhibitorsAdenineAdultAgammaglobulinaemia Tyrosine KinaseAgedAged, 80 and overFemaleHumansMaleMiddle AgedPiperidinesPrognosisRisk AssessmentRisk FactorsAdenineAgammaglobulinaemia Tyrosine KinaseBTK protein, humanibrutinibPiperidinesProtein Kinase InhibitorsAFatrial fibrillationchronic lymphocytic leukemiaCLLscore

Identifiers

PMID40071509
PMCPMC12053966

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.