Evidence map›Paper›PMID 41164221›Full record

ArticleJournal of inflammation research2025

Hemoglobin-Albumin-Lymphocyte-Platelet Score as an Integrative Biomarker for Prognosis and Sarcopenia in Colorectal Cancer.

Hailun Xie, Lishuang Wei, Shuangyi Tang, Jialiang Gan

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Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

4 authors.

Hailun Xie *Department of Gastrointestinal and Gland Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Lishuang Wei *Department of Geriatric Respiratory Disease Ward, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Shuangyi TangDepartment of Pharmacy, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Jialiang GanGuangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi, People's Republic of China.ORCID 0000-0002-3857-1357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to comprehensively investigate the dose-response relationship between the Hemoglobin-Albumin-Lymphocyte-Platelet (HALP) score, which reflects the combined inflammatory and nutritional status, and progression-free survival (PFS), overall survival (OS), as well as sarcopenia in patients with colorectal cancer (CRC). Methods: A retrospective analysis was conducted on 1,441 CRC patients who underwent surgery. HALP score was calculated as Hemoglobin (g/L) × Albumin (g/L) × Lymphocyte count (10 Results: Kaplan - Meier analysis showed that patients with low HALP scores had worse PFS (51.2% vs 63.3%, p < 0.001) and OS (54.1% vs 66.0%, p < 0.001). For every standard deviation increase in HALP scores, the HR for PFS decreased by 13.3% (HR = 0.867, 95% CI = 0.780-0.963, p = 0.008), and for OS by 15.2% (HR = 0.848, 95% CI = 0.759-0.948, p = 0.004). Multivariate Cox regression analysis confirmed HALP as an independent prognostic factor for PFS and OS. Logistic regression analysis indicated that low HALP scores were an independent predictor of sarcopenia (OR = 0.550, 95% CI = 0.420-0.963, p < 0.001). The HALP-based nomograms demonstrated strong predictive performance for prognosis, with C-indexes of 0.726 (PFS) and 0.728 (OS) and 5-year AUCs exceeding 0.76. Conclusion: Low HALP scores are independent risk factors for PFS, OS, and sarcopenia in CRC patients, highlighting HALP's potential for clinical application in CRC management and may thus assist in personalized treatment decisions.

Indexed as

colorectal cancerHALP scoreoverall survivalprogression-free survivalsarcopenia

Identifiers

PMID41164221
PMCPMC12560648

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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.