Evidence map›Paper›PMID 32537935›Full record

ArticleCancer medicine2020

External validation of the prognostic relevance of the advanced lung cancer inflammation index (ALI) in pancreatic cancer patients.

Dominik Andreas Barth, Carina Brenner, Jakob Michael Riedl, Felix Prinz, Eva Valentina Klocker, Konstantin Schlick, Peter Kornprat, Karoline Lackner, Herbert Stöger, Michael Stotz and 2 more

Abstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. The prealbumin-CD19BMC cancer · 2025
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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

12 authors.

Dominik Andreas BarthDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.ORCID 0000-0003-0812-3024
Carina BrennerDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.
Jakob Michael RiedlDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.
Felix PrinzDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.
Eva Valentina KlockerDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.
Konstantin Schlick3rd Medical Department with Hematology and Medical Oncology, Hemostaseology, Rheumatology and Infectious Diseases, Laboratory for Immunological and Molecular Cancer Research, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria.
Peter KornpratDivision of General Surgery, Department of Surgery, Medical University of Graz, Graz, Austria.
Karoline LacknerInstitute of Pathology, Medical University of Graz, Graz, Austria.
Herbert StögerDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.
Michael StotzDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.
Armin GergerDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.ORCID 0000-0002-3888-5401
Martin PichlerDivision of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria.ORCID 0000-0002-8701-9462

Funding

Austrian Science Fund FWF W 1226
6 · The paper itself

Abstract

backgroundThe advanced lung cancer inflammation index (ALI) was first introduced for prognosis prediction in lung cancer patients and since then evaluated in several other malignancies. However, in pancreatic cancer (PC) the ALI and its prognostic utility were only investigated in a comparably small and specific cohort of locally advanced PC patients treated with chemoradiotherapy.

methodsIn our single-center cohort study, we included 429 patients with histologically verified PC who were treated between 2003 and 2015 at our academic institution. The ALI was defined as body mass index (BMI; kg/m

resultsThe ALI showed a significant negative correlation with CA19-9 levels and C-reactive protein levels whereas we found an association with localized tumor stage and better performance status (P < .05 for all mentioned variables). As opposed to patients with a high ALI, decreased ALI was significantly associated with shorter CSS (HR = 0.606, 95% CI: 0.471-0.779, P = .001). Multivariate analysis demonstrated tumor grade, tumor stage, chemotherapy, C-reactive protein levels, and CA19-9 levels to independently predict for CSS (all P < .05). In contrast the ALI failed to independently predict for CSS in the performed multivariate models (HR = 0.878, 95% CI: 0.643-1.198, P = .411).

conclusionIn this large cohort of PC patients, the ALI did not complement existing clinicopathological factors for outcome determination.

Indexed as

AgedCohort StudiesFemaleHumansInflammationLung NeoplasmsMaleMiddle AgedPancreatic NeoplasmsPrognosisRetrospective Studiesadvanced lung cancer inflammation indexbiomarkerpancreatic cancerprognosis

Identifiers

PMID32537935
PMCPMC7402815

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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.