Evidence map›Paper›PMID 36905580›Full record

SynthesisThe oncologist2024

Meta-Analysis of 49 Roche Oncology Trials Comparing Blinded Independent Central Review (BICR) and Local Evaluation to Assess the Value of BICR.

Qinshu Lian, Jill Fredrickson, Kamila Boudier, Christiane Rothkegel, Magalie Hilton, Alexander Hillebrecht, Andrew McDonald, Na Xu

Abstract readMeta-Analysis
In one paragraph

Synthesis in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Tumor metrics imaging core labs: primer for radiologists.Abdominal radiology (New York) · 2026
    Review
  5. Review
  6. Article
  7. Review
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

8 authors.

Qinshu LianGenentech, Inc., South San Francisco, CA, USA.
Jill FredricksonGenentech, Inc., South San Francisco, CA, USA.
Kamila BoudierF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Christiane RothkegelF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Magalie HiltonF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Alexander HillebrechtF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Andrew McDonaldF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Na XuGenentech, Inc., South San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlinded independent central review (BICR) of radiographic images is frequently conducted in oncology trials to address the potential bias of local evaluation (LE) of endpoints such as progression-free survival (PFS) and objective response rate (ORR). Given that BICR is a complex and costly process, we evaluated the agreement between LE- and BICR-based treatment effect results and the impact of BICR on regulatory decision-making. MATERIALS AND

methodsMeta-analyses were performed using hazard ratios (HRs) for PFS and odds ratios (ORs) for ORR from all randomized Roche-supported oncology clinical trials during 2006-2020 that had both LE and BICR results (49 studies with a total of over 32 000 patients).

resultsOverall, the evaluation bias of LE overestimating the treatment effect compared with BICR based on PFS was numerically small and not clinically meaningful, especially for double-blind studies (HR ratio between BICR and LE: 1.044). A larger bias is more likely to occur in studies with open-label design, smaller sample sizes, or an unequal randomization ratio. The majority (87%) of the PFS comparisons led to the same statistical inference by BICR and LE. For ORR, a high degree of agreement between BICR and LE results was also observed (OR ratio of 1.065), although the agreement was slightly lower than for PFS.

conclusionBICR did not notably impact the study interpretation nor drive the sponsor's regulatory submission decisions. Hence, if bias can be diminished by appropriate means, LE is deemed as reliable as BICR for certain study settings.

Indexed as

Randomized Controlled Trials as TopicHumansNeoplasmsProgression-Free Survivalblinded independent central reviewlocal evaluation biasmeta-analysisoncology clinical trialprogression-free survivaltumor response assessment

Identifiers

PMID36905580
PMCPMC11299942

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Registered trials

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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.