Evidence map›Paper›PMID 33897913›Full record

SynthesisDisease markers2021

Prognostic Value of Pretreated Blood Inflammatory Markers in Patients with Bone Sarcoma: A Meta-Analysis.

Min Jiang, Shaowei Ma, Zhongyan Hua, Zhiying Zhao, Song Gao

Open access · hybridAbstract readEvaluation StudyMeta-Analysis
In one paragraph

Synthesis in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Min JiangDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0001-5125-1895
Shaowei MaDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0002-8574-8047
Zhongyan HuaMedical Research Center, Liaoning Key Laboratory of Research and Application of Animal Models for Environmental and Metabolic Diseases, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0002-6885-2221
Zhiying ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0001-5017-1156
Song GaoDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0002-7759-4404
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodWe conducted a detailed literature search in Medline and Embase databases and collected relevant publications written in English before April 2020. Overall survival (OS) and disease-free survival (DFS) were the primary and secondary outcomes, respectively. Basic features of patients, hazard ratios (HRs), and 95% confidence intervals (CI) were retrieved to assess the correlation between pretreated blood inflammatory markers and patients with bone sarcoma. This meta-analysis used Stata 12.0.

resultsA total of 10 studies containing 1845 cases were included for analysis. Nine of them evaluated the neutrophil lymphocyte ratio (NLR), 7 the platelet lymphocyte ratio (PLR), and 4 the lymphocyte monocyte ratio (LMR). Pooled results revealed that higher pretreatment NLR was associated with poorer OS (HR = 1.76, 95% CI: 1.29-2.41, and

conclusionNLR and LMR might be promising predictive biomarkers for patients with bone sarcoma and could be used to stratify patients and provide personalized therapeutic strategies.

Indexed as

Biomarkers, TumorBone NeoplasmsHumansLymphocyte CountNeutrophilsPlatelet CountSarcomaSurvival AnalysisBiomarkers, Tumor

Identifiers

PMID33897913
PMCPMC8052170
OpenAlexW3156216443

What OpenQuestion holds

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LicenceCC BY
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.