Evidence map›Paper›PMID 30176824›Full record

SynthesisBMC cancer2018

Tumor necrosis as a prognostic variable for the clinical outcome in patients with renal cell carcinoma: a systematic review and meta-analysis.

Lijin Zhang, Zhenlei Zha, Wei Qu, Hu Zhao, Jun Yuan, Yejun Feng, Bin Wu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 9% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  17. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
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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

7 authors at 1 institution in 1 country.

Lijin ZhangDepartment of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China.
Zhenlei ZhaDepartment of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China.
Wei QuDepartment of Pharmacy, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China.
Hu ZhaoDepartment of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China.
Jun YuanDepartment of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China.
Yejun FengDepartment of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China.
Bin WuDepartment of Urology, Affiliated Jiang-yin Hospital of the Southeast University Medical College, Jiang-yin, 214400, People's Republic of China. jyrmyywb@163.com.
Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor necrosis (TN) correlates with adverse outcomes in numerous solid tumors. However, its prognostic value in renal cell carcinoma (RCC) remains unclear. In this study, we performed a meta-analysis to evaluate associations between TN and cancer-specific survival (CSS), overall survival (OS), recurrence-free survival (RFS) and progression-free-survival (PFS) in RCC.

methodsElectronic searches in PubMed, EMBASE and Web of Science were conducted according to the PRISMA statement. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated to evaluate relationships between TN and RCC. A fixed- or random-effects model was used to calculate pooled HRs and 95%CIs according to heterogeneity.

resultsA total of 34 cohort studies met the eligibility criteria of this meta-analysis. The results showed that TN was significantly predictive of poorer CSS (HR = 1.37, 95% CI: 1.23-1.53, p < 0.001), OS (HR = 1.29, 95% CI: 1.20-1.40, p < 0.001), RFS (HR = 1.55, 95% CI: 1.39-1.72, p < 0.001) and PFS (HR = 1.31, 95% CI: 1.17-1.46, p < 0.001) in patients with RCC. All the findings were robust when stratified by geographical region, pathological type, staging system, number of patients, and median follow-up.

conclusionsThe present study suggests that TN is associated with CSS, OS, RFS and PFS clinical outcomes of RCC patients and may serve as a predictor of poor prognosis in these patients.

Indexed as

PrognosisBiomarkers, TumorCarcinoma, Renal CellDisease-Free SurvivalFemaleHumansMaleNecrosisTreatment OutcomeBiomarkers, TumorMeta-analysisPrognosisRenal cell carcinomaTumor necrosis

Identifiers

PMID30176824
PMCPMC6122538
OpenAlexW2888833684

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.