2,109 randomized oncology trials map continuous, meager improvements in progression-free and overall survival over 50 years is a dataset published in Journal of Clinical Epidemiology (2022). On theSindex it has a DataRank of 0.345, placing it in the top 51.2% of the data-sharing corpus. It has been cited 4 times, with 3 citing works in its 1-hop citation network.
ObjectivesTo assess the patterns and time trends in overall survival and progression-free survival treatment effects across randomized controlled trials (RCTs) in oncology.Study design and settingA PubMed search for oncology network meta-analyses (NMAs) was carried (to September 30, 2021). Relevant hazard ratios were extracted for systemic treatments from RCTs in the NMAs. After removing duplicate results, relationships between treatment effects, year of publication, trial design, and other features were explored.ResultsFrom 241 oncology NMAs, 2,109 unique eligible RCTs provided analyzable data. On average, there was a 12%-14% reduction in hazard for overall survival and 27%-30% reduction for progression-free survival, with substantial heterogeneity across different malignancies. Correlation between overall survival and progression-free survival treatment effects was modest (r = 0.60, 95% confidence interval, 0.56-0.64). Over time, there was a suggestive trend of increased progression-free survival treatment effect, although overall survival treatment effects remained steady. Only one in five trials met criteria for clinically meaningful improvements in overall survival. Among 300 randomly selected trials, mean absolute improvement was 1.6 months for median progression-free survival and 1.4 months for median overall survival.ConclusionBroad patterns across the past 50 years of oncology research suggest continuous progress has been made, but few results meet clinically meaningful thresholds for overall survival improvement.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0.103
From 3 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 70% comes from its base citations and 30% from the citation network (3 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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