Evidence map›Paper›PMID 31825895›Full record

Trial reportAging2019

Conditional disease-free survival in high-risk renal cell carcinoma treated with sunitinib.

Ning Shao, Hengchuan Su, Dingwei Ye

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

3 authors at 1 institution in 1 country.

Ning ShaoDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Hengchuan SuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease-free survival (DFS) did not reflect accurate individual prognosis after initial diagnosis. As conditional DFS (CDFS) could provide dynamic prognostic information, we evaluated CDFS in these patients treated with or without sunitinib.

resultsA total of 1329 patients with median follow-up 6.54 years were enrolled. CDFS improved continuously with disease-free survivorship increasing in both sunitinib and placebo group with minimal difference. In placebo arm, the CDFS of surviving to five year after living 1, 2, 3, and 4 years were 65%, 78%, 87%, and 95% (observed 5-year DFS: 51%). Dynamic changes of HR showed adjuvant sunitinib decrease relapse risks during the first 1.5 years after surgery (P < 0.03).

conclusionsOur study provided contemporary data of CDFS and change of relapse HR in high-risk ccRCC patients after adjuvant sunitinib or placebo. The remarkable improvement in CDFS highlighted the importance of disease-free interval as a strong indicator in patient counseling and surveillance planning. MATERIALS AND

methodsThe primary end point was CDFS and the second end point was smooth hazard ratios (HR) for the prediction of relapses. The differences of conditional survival were compared with the calculation of d value.

Indexed as

Antineoplastic AgentsCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleSunitinibAntineoplastic AgentsSunitinibconditional disease-free survivalhigh-riskpatient counselingrenal cell carcinomasunitinib

Identifiers

PMID31825895
PMCPMC6932878
OpenAlexW2996302684

What OpenQuestion holds

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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.