Evidence map›Paper›PMID 26835589›Full record

SynthesisCancer biomarkers : section A of Disease markers2016

Prognostic role of elevated preoperative systemic inflammatory markers in localized soft tissue sarcoma.

Yanyan Li, Xiaoxiao Liu, Jing Zhang, Weiqiang Yao

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cancer biomarkers : section A of Disease markers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 23% of its field
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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Impact of anthracycline-based chemotherapy on RB1 gene methylation in peripheral blood leukocytes and biomarkers of oxidative stress and inflammation in sarcoma patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Prognostic value of neutrophil-to-lymphocyte ratio and other inflammatory markers in patients with high-risk soft tissue sarcomas.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Observational
  12. Sarcoma Tumor Microenvironment.Advances in experimental medicine and biology · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. 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

4 authors at 2 institutions in 1 country.

Yanyan LiDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaoxiao LiuDepartment of Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jing ZhangDepartment of Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Weiqiang YaoDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic inflammation has been implicated in cancer development and progression. The aim of the present study was to evaluate whether pre-operative systemic inflammatory markers can predict outcomes in bone and soft tissue sarcomas.

methodsRelevant literature was mainly identified using Pubmed, EMBASE and CNKI. Patients' clinical characteristics, overall survival (OS), disease/relapse free survival (DFS/RFS) with high-level CRP or neutrophils to lymphocytes ratio (NLR) were extracted. The statistics extracted from Kaplan-Meier survival curves with log-rank p value were calculated with methods developed by Parmar, Williamson, and Tierney; multivariate Cox hazard regression analysis data were used directly in STATA 10.0. Pooled hazard ratio (HR) and 95% CI were calculated to evaluate the prognostic role of these systemic inflammatory markers (CRP/NLR).

resultsAfter full text review, 11 articles containing 1809 patients were identified as eligible articles. The meta-analysis for survival outcome showed significant prognostic value of systemic inflammatory markers including CRP and NLR in pre-operative blood. The combined HRs (95% CI) for five year overall survival (OS) and disease/recurrence free survival (DFS/RFS) were 2.54 [2.04, 3.16] and 2.28 [1.72, 3.04]. Specifically, higher NLR was associated with decreased 5-year OS (HR 3.75, 95% CI 1.24 to 11.37) and 3 year RFS/DFS (HR 2.43, 95% CI 0.84 to 7.05). Besides, the pooled HR showed a higher risk of 5-year disease progression (HR 2.55, 95% CI 1.60 to 4.08, I2 = 52%) and lower 5-year OS (HR 2.50, 95% CI 2.00 to 3.12, I2 = 0%) in sarcoma patients with high CRP level. We then grouped the meta-analysis by patient source (Asian and non-Asian), tumor stage (I/II or III/IV) and grade (high or low), respectively. All the subgroup analysis showed significant prognostic role in survival condition. The CRP/NLR levels are also found closely related with patient age, tumor stage and size.

conclusionHigher level of pre-operative CRP and NLR demonstrated a significantly higher risk of recurrence and overall decreased survival rates in sarcomas.

Indexed as

Biomarkers, TumorBone NeoplasmsDisease-Free SurvivalHumansInflammationKaplan-Meier EstimateLymphocytesNeoplasm Recurrence, LocalNeutrophilsSarcomaSurvival RateBiomarkers, TumorCRPmeta-analysisprognostic factorsarcoma

Identifiers

PMID26835589
PMCPMC13016492
OpenAlexW2252383830

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.