Evidence map›Paper›PMID 37274110›Full record

ArticleFrontiers in pharmacology2023

Evaluation of the potential herb-drug interaction between Bojungikki-tang and PD-L1 immunotherapy in a syngeneic mouse model.

Sung-Yoon Yang, Jin-Mu Yi, Jaemoo Chun, Seongwon Park, Tham Thi Bui, Hwi-Yeol Yun, Jung-Woo Chae, Mi-Kyung Jeong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in 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
1.5field-weighted citation impact, top 20% 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, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Sung-Yoon YangCollege of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Jin-Mu YiKM Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Jaemoo ChunKM Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Seongwon ParkCollege of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Tham Thi BuiCollege of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Hwi-Yeol YunCollege of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Jung-Woo ChaeCollege of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Mi-Kyung JeongKM Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Chungnam National University · KRKorea Institute of Oriental Medicine · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atezolizumab (a PD-L1 inhibitor) has shown remarkable efficacy and tolerability in various cancer types. Despite its efficacy and safety, atezolizumab monotherapy has limitations, such as acquired resistance and adverse events. Bojungikki-tang (BJIKT) is an herbal decoction widely prescribed in Asian countries and used to treat cancer-related symptoms including fatigue, appetite loss, gastrointestinal disorders, and other side effects from cancer therapy. Due to its immunomodulatory effects, Bojungikki-tang has been investigated as a combined treatment with anticancer agents. We evaluated the potential drug-drug interaction (DDI) between Bojungikki-tang and the anti-PD-L1 antibody based on the Food and Drug Administration (FDA) guidelines. In the study, we conducted an

Indexed as

atezolizumabBojungikki-tangCMT-167drug-drug interactionPD-L1

Identifiers

PMID37274110
PMCPMC10232755
OpenAlexW4377023857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.