Evidence map›Paper›PMID 38434917›Full record

ArticleCancer diagnosis & prognosis

Evaluation of Atezolizumab Plus Bevacizumab

Michio Kimura, Shiori Yamada, Makiko Go, Satoshi Yasuda, Hidenori Toyoda, Eiseki Usami

Open access · bronzeAbstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
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

6 authors at 1 institution in 1 country.

Michio KimuraDepartment of Pharmacy, Ogaki Municipal Hospital, Gifu, Japan.
Shiori YamadaDepartment of Pharmacy, Ogaki Municipal Hospital, Gifu, Japan.
Makiko GoDepartment of Pharmacy, Ogaki Municipal Hospital, Gifu, Japan.
Satoshi YasudaDepartment of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Gifu, Japan.
Hidenori ToyodaDepartment of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Gifu, Japan.
Eiseki UsamiDepartment of Pharmacy, Ogaki Municipal Hospital, Gifu, Japan.
Ogaki Municipal Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Atezolizumab/bevacizumab (Atez/BV) and lenvatinib (LEN) are the recommended first-line treatments for patients with unresectable hepatocellular carcinoma (HCC). Previous reports have suggested that the tolerability and therapeutic efficacy of LEN could be enhanced by modifying its administration method. Therefore, this study compared the efficacy and safety of Atez/BV, the standard LEN therapy (standard LEN), and modified LEN therapy (modified LEN). Patients and Methods: The overall survival (OS) and the rate of discontinuation due to adverse events (AEs) were compared between groups treated with Atez/BV (n=36), standard LEN (n=30), and modified LEN (n=11). Results: Discontinuation due to AEs was required in 22.2%, 23.3%, and 9.1% of patients in the Atez/BV, standard LEN, and modified LEN groups (p=0.485). The median OS for the Atez/BV, standard LEN, and modified LEN groups was 523 [95% confidence interval (CI)=163-818], 382 (95%CI=330-547), and 604 (95% CI=257-656) days, respectively (log-rank test, p=0.949). Conclusion: Atez/BV and the standard and modified LEN regimens showed comparable efficacy and safety.

Indexed as

Atezolizumabbevacizumabfirst-line treatmentlenvatiniboverall survivalunresectable hepatocellular carcinoma

Identifiers

PMID38434917
PMCPMC10905284
OpenAlexW4394755508

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.