Pretreatment systemic inflammatory ratios and survival in osteosarcoma and other primary bone sarcomas: a systematic review and meta-analysis

Abstract Background Evidence for neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in primary bone sarcoma is dominated by osteosarcoma and has been affected by inconsistent endpoint and effect-size extraction. We re-extracted eligible estimates from the primary reports and evaluated their independent prognostic associations. Methods MEDLINE, Embase, Web of Science, Scopus, and Cochrane CENTRAL were searched for cohort studies reporting pretreatment NLR, PLR, or LMR in primary bone sarcoma. The primary analysis required clinically multivariable-adjusted, categorical high-versus-low hazard ratios (HRs). Overall survival (OS) was analyzed separately from progression-free survival (PFS), disease-free survival (DFS), event-free survival (EFS), and disease-specific mortality. Random-effects models used restricted maximum likelihood (REML) estimation and Hartung-Knapp confidence intervals. Histology- and Newcastle-Ottawa Scale (NOS)-based subgroup analyses were prespecified when at least two studies were available. Results Ten studies remained in the systematic review, and nine contributed at least one source-verifiable endpoint-specific adjusted estimate to quantitative synthesis. Seven NLR-OS cohorts yielded a pooled HR of 1.64 (95% CI 1.15–2.33; I² = 81.4%). The osteosarcoma-only subgroup remained significant (five cohorts; HR 1.70, 95% CI 1.03–2.81; I² = 86.6%). Excluding Huang X 2019 from the strict dataset yielded HR 1.84 (95% CI 1.44–2.36; I² = 0%); the reviewer-specified comparison against the previous eight-estimate set, retaining Yang Q 2020 only as a source-reported sensitivity input, yielded HR 1.90 (95% CI 1.47–2.45; I² = 5.9%). PLR was not associated with OS (four cohorts; HR 1.07, 95% CI 0.67–1.72; I² = 56.0%). LMR showed a non-significant protective trend (three cohorts; HR 0.70, 95% CI 0.38–1.27; I² = 0%). Conclusions Higher pretreatment NLR is associated with poorer OS, including in the strict osteosarcoma-only analysis. The direction remained stable in every leave-one-out analysis, while the marked reduction in heterogeneity after excluding Huang X 2019 identifies one dominant statistical influence. Retrospective designs and residual heterogeneity limit clinical application. PLR and LMR findings remain inconclusive, and whether NLR-guided management improves outcomes is untested.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2026-11-02
DOI
https://doi.org/10.1186/s12885-026-17127-3
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pretreatment systemic inflammatory ratios and survival in osteosarcoma and other primary bone sarcomas: a systematic review and meta-analysis

Abdulrahman Alaseem, Abdullah Ahmed Alabbasi, Faris Alaa Sultan, Albara A Dabroom et al.
2 links
BMC Cancer
Inflammatory Biomarkers in Disease Prognosis
article

Pretreatment systemic inflammatory ratios and survival in osteosarcoma and other primary bone sarcomas: a systematic review and meta-analysis

Abdulrahman Alaseem, Abdullah Ahmed Alabbasi, Faris Alaa Sultan, Albara A Dabroom, Ibrahim S. Alshaygy, Muhanad Saleh Alzahrani, Khalid Alotaibi
article en

Abstract

Abstract Background Evidence for neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in primary bone sarcoma is dominated by osteosarcoma and has been affected by inconsistent endpoint and effect-size extraction. We re-extracted eligible estimates from the primary reports and evaluated their independent prognostic associations. Methods MEDLINE, Embase, Web of Science, Scopus, and Cochrane CENTRAL were searched for cohort studies reporting pretreatment NLR, PLR, or LMR in primary bone sarcoma. The primary analysis required clinically multivariable-adjusted, categorical high-versus-low hazard ratios (HRs). Overall survival (OS) was analyzed separately from progression-free survival (PFS), disease-free survival (DFS), event-free survival (EFS), and disease-specific mortality. Random-effects models used restricted maximum likelihood (REML) estimation and Hartung-Knapp confidence intervals. Histology- and Newcastle-Ottawa Scale (NOS)-based subgroup analyses were prespecified when at least two studies were available. Results Ten studies remained in the systematic review, and nine contributed at least one source-verifiable endpoint-specific adjusted estimate to quantitative synthesis. Seven NLR-OS cohorts yielded a pooled HR of 1.64 (95% CI 1.15–2.33; I² = 81.4%). The osteosarcoma-only subgroup remained significant (five cohorts; HR 1.70, 95% CI 1.03–2.81; I² = 86.6%). Excluding Huang X 2019 from the strict dataset yielded HR 1.84 (95% CI 1.44–2.36; I² = 0%); the reviewer-specified comparison against the previous eight-estimate set, retaining Yang Q 2020 only as a source-reported sensitivity input, yielded HR 1.90 (95% CI 1.47–2.45; I² = 5.9%). PLR was not associated with OS (four cohorts; HR 1.07, 95% CI 0.67–1.72; I² = 56.0%). LMR showed a non-significant protective trend (three cohorts; HR 0.70, 95% CI 0.38–1.27; I² = 0%). Conclusions Higher pretreatment NLR is associated with poorer OS, including in the strict osteosarcoma-only analysis. The direction remained stable in every leave-one-out analysis, while the marked reduction in heterogeneity after excluding Huang X 2019 identifies one dominant statistical influence. Retrospective designs and residual heterogeneity limit clinical application. PLR and LMR findings remain inconclusive, and whether NLR-guided management improves outcomes is untested.

BMC Cancer
King Saud University (SA), King Abdulaziz Medical City (SA), Armed Forces Hospital (SA), Ministry of Health (SA), National Guard Health Affairs (SA)
Good health and well-being
Openalex Percentile: Top 17%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon