Evidence map›Paper›PMID 36773042›Full record

ArticleEuropean journal of clinical pharmacology2023

Sequencing strategies with ramucirumab and docetaxel following prior treatments for advanced non-small cell lung cancer: a multicenter retrospective cohort study.

Satoshi Tanizaki, Kinnosuke Matsumoto, Akihiro Tamiya, Yoshihiko Taniguchi, Yoshinobu Matsuda, Junji Uchida, Kiyonobu Ueno, Hayato Kawachi, Motohiro Tamiya, Takafumi Yanase and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Satoshi TanizakiDepartment of Respiratory Medicine, Osaka General Medical Center, Osaka, Japan.
Kinnosuke MatsumotoDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kita-Ku, Sakai City, Osaka, 591-8555, Japan.
Akihiro TamiyaDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kita-Ku, Sakai City, Osaka, 591-8555, Japan. tamiya.akihiro.tz@mail.hosp.go.jp.
Yoshihiko TaniguchiDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kita-Ku, Sakai City, Osaka, 591-8555, Japan.
Yoshinobu MatsudaDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kita-Ku, Sakai City, Osaka, 591-8555, Japan.
Junji UchidaDepartment of Respiratory Medicine, Osaka General Medical Center, Osaka, Japan.
Kiyonobu UenoDepartment of Respiratory Medicine, Osaka General Medical Center, Osaka, Japan.
Hayato KawachiDepartment of Respiratory Medicine, Osaka International Cancer Institute, Osaka, Japan.
Motohiro TamiyaDepartment of Respiratory Medicine, Osaka International Cancer Institute, Osaka, Japan.
Takafumi YanaseDepartment of Respiratory Medicine, Osaka Habikino Medical Center, Osaka, Japan.
Hidekazu SuzukiDepartment of Respiratory Medicine, Osaka Habikino Medical Center, Osaka, Japan.
Kyoichi OkishioDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kita-Ku, Sakai City, Osaka, 591-8555, Japan.
National Kinki Chuo Hospital for Chest Disease · JPOsaka City General Hospital · JPOsaka Medical Center for Cancer and Cardiovascular Diseases · JPOsaka Prefectural Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRamucirumab (RAM) and docetaxel (DOC) are commonly used after first-line therapy for advanced non-small cell lung cancer (NSCLC). Therefore, we aimed to elucidate sequencing strategies of RAM and DOC following prior treatments, including immune checkpoint inhibitor (ICI), cytotoxic agent (CTx) alone, bevacizumab (BEV), and tyrosine kinase inhibitor (TKI).

methodsWe recruited patients with NSCLC who received RAM and DOC and compared the groups with and without prior ICI, CTx alone, BEV, and TKI, respectively. By tumor response to such treatments, the patients were further classified into "complete response (CR) + partial response (PR)," "stable disease," and "progressive disease" groups, respectively. We compared RAM and DOC efficacy among these groups.

resultsIn total, 237 patients were registered. In the group with prior ICI, the objective response rate and disease control rate were significantly higher than those without prior ICI (p = 0.012 and 0.028, respectively), and the median progression-free survival (PFS) was also significantly longer (p = 0.027). There were no significant differences in PFS between the groups with and without CTx alone, BEV, and TKI. Multivariate analysis revealed that prior ICI was an independent factor associated with better PFS. Furthermore, the prior ICI group with CR + PR significantly prolonged PFS compared to the group without prior ICI (p = 0.013).

conclusionRAM and DOC may be preferably administered after ICI, rather than after CTx alone, BEV, or TKI, and, furthermore, enhanced if the prior ICI has a favorable tumor response.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsBevacizumabDocetaxelHumansProtein Kinase InhibitorsRamucirumabRetrospective StudiesBevacizumabDocetaxelProtein Kinase InhibitorsRamucirumabAnti-angiogenic agentDocetaxelImmune checkpoint inhibitorsNon-small cell lung cancerRamucirumab

Identifiers

PMID36773042
OpenAlexW4320032640

What OpenQuestion holds

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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.