Evidence map›Paper›PMID 39594788›Full record

ArticleCancers2024

Validation of the Scottish Inflammatory Prognostic Score (SIPS) in NSCLC Patients Treated with First-Line Pembrolizumab.

Igor Gomez-Randulfe, Fabio Gomes, Melanie MacKean, Iain Phillips, Mark Stares

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association between the systemic inflammation response index and prognosis in lung cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Article
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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

5 authors.

Igor Gomez-RandulfeThe Christie NHS Foundation Trust, Manchester M20 4BX, UK.ORCID 0000-0002-5364-2491
Fabio GomesThe Christie NHS Foundation Trust, Manchester M20 4BX, UK.ORCID 0000-0003-0922-2665
Melanie MacKeanEdinburgh Cancer Centre, NHS Lothian, Edinburgh EH4 2XU, UK.
Iain PhillipsEdinburgh Cancer Centre, NHS Lothian, Edinburgh EH4 2XU, UK.
Mark StaresEdinburgh Cancer Centre, NHS Lothian, Edinburgh EH4 2XU, UK.

Funding

Cancer Research UK Edinburgh Centre Core
6 · The paper itself

Abstract

backgroundThe Scottish Inflammatory Prognostic Score (SIPS), combining albumin (≥/<35 g/L) and neutrophil count (≤/>7.5 × 10

methodsPatients treated with first-line pembrolizumab for advanced NSCLC with programmed death-ligand 1 (PD-L1) expression ≥ 50% at an English cancer centre were identified. Pre-treatment clinicopathological characteristics and the SIPS were recorded. The relationship between these and progression-free survival (PFS) and overall survival (OS) was examined.

resultsAmong 257 patients evaluated, 56% (

conclusionsOur study confirms the prognostic significance of the SIPS in patients with advanced NSCLC treated with pembrolizumab in the context of high PD-L1 expression. SIPS offers a straightforward, clinically applicable approach to patient stratification, potentially guiding therapeutic decisions and enhancing outcomes in advanced NSCLC. Future research should focus on validating these findings in prospective studies and exploring the integration of SIPS into clinical practice, alongside other prognostic markers, to optimize treatment strategies.

Indexed as

non-small cell lung cancer (NSCLC)pembrolizumabprognostic biomarkerprogrammed death ligand 1 (PD-L1)Scottish Inflammatory Prognostic Score (SIPS)systemic inflammation

Identifiers

PMID39594788
PMCPMC11592635

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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.