ReviewNeuro-oncology advances
Ki-67 and overall survival in patients with glioblastoma: A systematic prognostic review and meta-analysis.
Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Ki-67 labeling index (LI) is widely used to quantify tumor proliferation in cancer. Although helpful in assessing proliferative activity across gliomas, its prognostic value in glioblastoma remains uncertain. Methods: We conducted a systematic prognostic review and meta-analysis of studies reporting associations between Ki-67 LI and overall survival in adult glioblastomas. Random-effects models (restricted maximum likelihood with Knapp-Hartung adjustments) were used to pool hazard ratios (HRs). Risk of bias was assessed with the QUIPS tool. Results: Fourteen retrospective cohort studies ( Conclusions: Higher Ki-67 LI is associated with an increased hazard of death in patients with glioblastoma, with effects persisting after multivariable adjustment and limited between-study heterogeneity. Standardized Ki-67 assessment and clinically validated cutoffs are needed to improve comparability and enable robust prognostic stratification.
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Registered trials
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.