Evidence map›Paper›PMID 36382307›Full record

ArticleAsian journal of pharmaceutical sciences2022

Optimize the combination regimen of Trastuzumab and Nab-paclitaxel in HER2-positive tumors via modulating Caveolin-1 expression by lovastatin.

Canyu Yang, Shumin Fan, Xing Wang, Wei Liu, Long Yang, Bing He, Wenbing Dai, Hua Zhang, Xueqing Wang, Qiang Zhang

Open access · diamondAbstract read
In one paragraph

Article in Asian journal of pharmaceutical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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, 3 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Canyu YangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing 100191, China.
Shumin FanBeijing Key Laboratory of Molecular Pharmaceutics, New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Xing WangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing 100191, China.
Wei LiuDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100083, China.
Long YangBeijing Key Laboratory of Molecular Pharmaceutics, New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Bing HeBeijing Key Laboratory of Molecular Pharmaceutics, New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Wenbing DaiBeijing Key Laboratory of Molecular Pharmaceutics, New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Hua ZhangBeijing Key Laboratory of Molecular Pharmaceutics, New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Xueqing WangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing 100191, China.
Qiang ZhangDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing 100191, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination regimen of trastuzumab (Tras) plus Nab-paclitaxel (Nab) is recommended to treat HER2-positive (HER2

Indexed as

Caveolin-1Combination regimen optimizationNab-paclitaxelTrastuzumab

Identifiers

PMID36382307
PMCPMC9640369
OpenAlexW4288070039

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.