Evidence map›Paper›PMID 37988952›Full record

ArticleESMO open2023

Validation of the ALK-Brain Prognostic Index for patients with ALK-rearranged lung cancer and brain metastases.

I Zerdes, C Kamali, A Koulouris, M Elsayed, J Schnorbach, P Christopoulos, G Tsakonas

Open access · goldAbstract read
In one paragraph

Article in ESMO open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 2 countries.

I ZerdesDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Thoracic Oncology Center, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden.
C KamaliDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Thoracic Oncology Center, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden. Electronic address: caroline.kamali@ki.se.
A KoulourisDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Thoracic Oncology Center, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden.
M ElsayedDepartment of Thoracic Oncology, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research (DZL) Heidelberg, Germany.
J SchnorbachDepartment of Thoracic Oncology, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research (DZL) Heidelberg, Germany.
P ChristopoulosDepartment of Thoracic Oncology, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research (DZL) Heidelberg, Germany.
G TsakonasDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Thoracic Oncology Center, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden.
Karolinska University Hospital · SEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain metastases (BMs) are a key challenge in the management of anaplastic lymphoma kinase-rearranged non-small-cell lung cancer (ALK+ NSCLC), but prognostic scores are complicated or rely on data before the era of tyrosine kinase inhibitors (TKIs). This study aimed to validate the novel ALK-Brain Prognostic Index (ALK-BPI), which was originally proposed based on 44 TKI-treated ALK+ NSCLC patients from Karolinska University Hospital, using an external clinical cohort. PATIENTS AND

methodsTKI-treated ALK+ NSCLC patients with BM from Heidelberg (n = 82, cohort 1) were retrospectively analyzed alone and together with the original Karolinska cohort (n = 126, cohort 2). Cox regression models were used to determine the association of clinical variables and scores with overall survival (OS) after BM diagnosis (BM-related OS).

resultsBoth cohorts showed a similar median age (58 years), roughly balanced sex distributions (52%-56% females), and Eastern Cooperative Oncology Group performance status (PS) 0-2 for most patients (87%-92%) at the time of BM development, which were present already at initial diagnosis in 36%-38% of the patients. Most patients had received next-generation ALK inhibitors (54%-63%), while 55%-56% of patients did not receive any radiotherapy. The ALK-BPI identified poor-risk patients (i.e. featuring ≥ 2/3 risk factors: PS > 2, male sex, development of BM after initial diagnosis) with a significantly shorter BM-related OS than other patients in both cohorts: 32/82 in cohort 1 with 21.3 versus 62.2 months in median [hazard ratio (HR) = 2.5, P < 0.001]; 59/126 in cohort 2 with 23.1 versus 67.2 months in median (HR = 2.6, P < 0.001). The five-parameter Lung-molGPA score did not achieve statistical significance and/or clear prognostic separation in all four groups, while the Disease-Specific Graded Prognostic Assessment score did not show consistent results.

conclusionsThe ALK-BPI is a reliable tool for easy prognostic dichotomization of TKI-treated ALK+ NSCLC patients with BM in daily clinical practice, without the complexity of previous models.

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungLung NeoplasmsAnaplastic Lymphoma KinaseBrainFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesAnaplastic Lymphoma KinaseALK-BPIbrain metastasesnon-small-cell lung cancerprognosis

Identifiers

PMID37988952
PMCPMC10774967
OpenAlexW4388817391

What OpenQuestion holds

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LicenceCC BY
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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.