Evidence map›Paper›PMID 40843730›Full record

Observational studyMedical sciences (Basel, Switzerland)2025

Are Calculated Immune Markers with or Without Comorbidities Good Predictors of Colorectal Cancer Survival? The Results of a Longitudinal Study.

Zoltan Herold, Magdolna Herold, Gyongyver Szentmartoni, Reka Szalasy, Julia Lohinszky, Aniko Somogyi, Attila Marcell Szasz, Magdolna Dank

Abstract readObservational Study
In one paragraph

Observational study in Medical sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

8 authors.

Zoltan HeroldDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.ORCID 0000-0001-5990-4889
Magdolna HeroldDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.ORCID 0000-0002-1036-6343
Gyongyver SzentmartoniDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.ORCID 0000-0003-1093-4619
Reka SzalasyDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.
Julia LohinszkyDepartment of Internal Medicine and Hematology, Semmelweis University, 1088 Budapest, Hungary.
Aniko SomogyiDepartment of Internal Medicine and Hematology, Semmelweis University, 1088 Budapest, Hungary.
Attila Marcell SzaszDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.
Magdolna DankDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.ORCID 0000-0002-4694-3624

Funding

National Research, Excellence and Innovation Office of Hungary NKKP ADVANCED 150998
6 · The paper itself

Abstract

BACKGROUND/

objectivesAlthough numerous prognostic biomarkers have been proposed for colorectal cancer (CRC), their longitudinal evaluation remains limited. The aim of this study was to investigate longitudinal changes in biomarkers calculated from routinely used laboratory markers and their relationships to common chronic diseases (comorbidities).

methodsA retrospective longitudinal observational study was completed with the inclusion of 817 CRC patients and a total of 4542 measurement points. Pan-immune inflammation value (PIV), prognostic nutritional index (PNI), and systemic immune-inflammation index (SII) were calculated based on complete blood count and albumin measurement data.

resultsLongitudinal data analyses confirmed the different values and slopes of the parameters tested at the different endpoints. Survivors had the lowest and most constant PIVs and SII values, and the highest and most slowly decreasing PNI values. Those patients with non-cancerous death had similar values to the previous cohort, but an increase/decrease occurred towards the death event. Patients with CRC-related death had significantly higher PIVs and SII values and significantly lower PNI values (

conclusionsEach of the three calculated markers demonstrates suitability for longitudinal patient follow-up, and their pathological alterations over time serve as valuable prognostic indicators. They may also be useful to detect certain clinicopathological parameters early.

Indexed as

Biomarkers, TumorColorectal NeoplasmsAdultAgedAged, 80 and overComorbidityFemaleHumansLongitudinal StudiesMaleMiddle AgedPrognosisRetrospective StudiesBiomarkers, Tumorcolorectal neoplasmslongitudinal analysispan-immune inflammation valueprognostic nutritional indexsystemic immune-inflammation index

Identifiers

PMID40843730
PMCPMC12371976

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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.