Evidence map›Paper›PMID 36164613›Full record

ArticleComputational and mathematical methods in medicine2022

Efficacy and Risk Factors of Pyrrotinib in Second- and Third-Line Treatments for HER2-Positive Advanced Breast Cancer.

Xiaolei Wang, Yuxia Huang, Zhen Yang, Yang Yang, Fenfen Wei, Min Yan, Fanfan Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xiaolei WangDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Yuxia HuangDepartment of Medical Oncology, Chizhou Second People's Hospital, Chizhou, Anhui 247100, China.
Zhen YangDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Yang YangDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Fenfen WeiDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Min YanDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Fanfan LiDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.ORCID https://orcid.org/0000-0003-1268-3702
Anhui Medical University · CNChizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A study to examine the efficacy and risk factors associated with pyrrotinib in the second- and third-line treatment of advanced breast cancer with Human epidermal growth factor receptor 2- (HER2-) positive cells was conducted. Progression-free survival (PFS) was assessed as the primary endpoint, and the objective response rate (ORR), overall survival (OS), and safety were secondary endpoints. Across all the patients, the ORR was 48.57%, and the disease control rate (DCR) was 94.29%. In the follow-up period, the median PFS was 15 months, and second-line treatment had significantly longer PFS than third-line treatment (

Indexed as

AcrylamidesAminoquinolinesBreast NeoplasmsEnzyme InhibitorsErb-b2 Receptor Tyrosine KinasesCapecitabineFemaleHumansRisk FactorsAcrylamidesAminoquinolinesCapecitabineEnzyme InhibitorsErb-b2 Receptor Tyrosine Kinasespyrotinib

Identifiers

PMID36164613
PMCPMC9509258
OpenAlexW4297259400

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.