Evidence map›Paper›PMID 34459138›Full record

ArticleClinical and translational medicine2021

New strategy for suppressing the growth of lung cancer cells harboring mutations in the ATP-binding region of EGFR by targeting the molecular motor MYO1D.

Yoo-Seung Ko, Hyuno Kang, Jeong A Bae, Sung Jin Kim, Nacksung Kim, Ik Joo Chung, Kyung-Sub Moon, Jin Kyung Rho, Hangun Kim, Hyung-Ho Ha and 2 more

Abstract readLetter
In one paragraph

Article in Clinical and translational medicine, 2021. 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
–field-weighted citation impact
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.

  1. Article
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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.

Yoo-Seung KoDepartment of Pharmacology, Chonnam National University Medical School, Hwasun, 58128, Korea.
Hyuno KangDivision of Analytical Science, Korea Basic Science Institute, Daejeon, 34133, Korea.
Jeong A BaeDepartment of Pharmacology, Chonnam National University Medical School, Hwasun, 58128, Korea.
Sung Jin KimDepartment of Pharmacology, Chonnam National University Medical School, Hwasun, 58128, Korea.
Nacksung KimDepartment of Pharmacology, Chonnam National University Medical School, Hwasun, 58128, Korea.
Ik Joo ChungDepartment of Internal Medicine, Chonnam National University Medical School, Hwasun, 58128, Korea.
Kyung-Sub MoonDepartment of Neurosurgery, Chonnam National University Medical School, Hwasun, 58128, Korea.
Jin Kyung RhoDepartment of Convergence Medicine, University of Ulsan, College of Medicine, Seoul, 05505, Korea.
Hangun KimCollege of Pharmacy, Sunchon National University, Sunchon, 57922, Korea.
Hyung-Ho HaCollege of Pharmacy, Sunchon National University, Sunchon, 57922, Korea.
In-Jae OhDepartment of Internal Medicine, Chonnam National University Medical School, Hwasun, 58128, Korea.
Kyung Keun KimDepartment of Pharmacology, Chonnam National University Medical School, Hwasun, 58128, Korea.ORCID 0000-0002-7346-9526

Funding

the Korean government NRF-2014R1A1A2009750the Korean government NRF-2020R1A2C2007189the Korean government NRF-2020R1A5A2031185the Korean government NRF-2020R1I1A1A01052318
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AcrylamidesAfatinibAniline CompoundsAnimalsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungDisease Models, AnimalErbB ReceptorsGefitinibIndolesIn Vitro TechniquesLung NeoplasmsMiceMutationMyosinsPyrimidinesAcrylamidesAfatinibAniline CompoundsAntineoplastic AgentsEGFR protein, mouseErbB ReceptorsGefitinibIndolesMyo1d protein, mouseMyosinsosimertinibPyrimidines

Identifiers

PMID34459138
PMCPMC8343539

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.