Evidence map›Paper›PMID 33805335›Full record

ArticleCancers2021

Correlation of Clinical Parameters with Intracranial Outcome in Non-Small Cell Lung Cancer Patients with Brain Metastases Treated with Pd-1/Pd-L1 Inhibitors as Monotherapy.

Konstantinos Rounis, Marcus Skribek, Dimitrios Makrakis, Luigi De Petris, Sofia Agelaki, Simon Ekman, Georgios Tsakonas

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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 3 institutions in 3 countries.

Konstantinos RounisThoracic Oncology Center, Theme Cancer, Karolinska University Hospital, 17164 Stockholm, Sweden.ORCID 0000-0002-6643-9855
Marcus SkribekThoracic Oncology Center, Theme Cancer, Karolinska University Hospital, 17164 Stockholm, Sweden.ORCID 0000-0001-8692-6426
Dimitrios MakrakisDepartment of Medical Oncology, University General Hospital, 71110 Heraklion, Crete, Greece.
Luigi De PetrisThoracic Oncology Center, Theme Cancer, Karolinska University Hospital, 17164 Stockholm, Sweden.
Sofia AgelakiDepartment of Medical Oncology, University General Hospital, 71110 Heraklion, Crete, Greece.
Simon EkmanThoracic Oncology Center, Theme Cancer, Karolinska University Hospital, 17164 Stockholm, Sweden.
Georgios TsakonasThoracic Oncology Center, Theme Cancer, Karolinska University Hospital, 17164 Stockholm, Sweden.ORCID 0000-0003-4397-7391
Karolinska University Hospital · SEUniversity Hospital of Heraklion · GRUniversity of Washington Medical Center · US

Funding

Stockholm Cancer Society 174093
6 · The paper itself

Abstract

There is a paucity of biomarkers for the prediction of intracranial (IC) outcome in immune checkpoint inhibitor (ICI)-treated non-small cell lung cancer (NSCLC) patients (pts) with brain metastases (BM). We identified 280 NSCLC pts treated with ICIs at Karolinska University Hospital, Sweden, and University Hospital of Heraklion, Greece. The inclusion criteria for response assessment were brain metastases (BM) prior to ICI administration, radiological evaluation with CT or MRI for IC response assessment, PD-1/PD-L1 inhibitors as monotherapy, and no local central nervous system (CNS) treatment modalities for ≥3 months before ICI initiation. In the IC response analysis, 33 pts were included. Non-primary (BM not present at diagnosis) BM, odds ratio (OR): 13.33 (95% CI: 1.424-124.880,

Indexed as

brain metastasesimmunotherapyintracranial outcomeNSCLC

Identifiers

PMID33805335
PMCPMC8036699
OpenAlexW3141765556

What OpenQuestion 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 OpenQuestion graph.