Evidence map›Paper›PMID 42506069›Full record

ReviewJournal of personalized medicine2026

Prolactin as a Candidate Biomarker in Non-Small Cell Lung Cancer: Implications for Personalized Medicine and Post-Treatment Risk Stratification.

Filip Gajewski, Grzegorz Kurec, Aleksandra Litkowska, Joanna Pec, Jakub Kleinrok, Weronika Pająk, Oliwia Burdan, Paweł Krawczyk, Agnieszka Korolczuk

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of personalized medicine, 2026. 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

9 authors.

Filip GajewskiDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.ORCID 0009-0000-5982-861X
Grzegorz KurecDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.ORCID 0009-0005-7156-5812
Aleksandra LitkowskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.ORCID 0009-0006-8181-0487
Joanna PecDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.ORCID 0009-0000-5525-7338
Jakub KleinrokChair and Department of Clinical Pathomorphology at Medical University of Lublin, Kazimierza Jaczewskiego 8b, 20-090 Lublin, Poland.ORCID 0009-0006-3742-5696
Weronika PająkDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.ORCID 0009-0009-9616-0458
Oliwia BurdanDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.
Paweł KrawczykLaboratory of Immunology and Genetics, Medical University of Lublin, Doktora Kazimierza Jaczewskiego 8, 20-090 Lublin, Poland.
Agnieszka KorolczukChair and Department of Clinical Pathomorphology at Medical University of Lublin, Kazimierza Jaczewskiego 8b, 20-090 Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

biomarkercirculating biomarkershyperprolactinemianon-small cell lung cancerpersonalized medicinePRLR signalingprognosisprolactinrisk stratificationtreatment monitoring

Identifiers

PMID42506069
PMCPMC13413349

What OpenQuestion holds

Textmetadata
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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.