Evidence map›Paper›PMID 35474765›Full record

ArticleACS omega2022

Anas Ahmad, Ravi Prakash, Mohd Shahnawaz Khan, Nojood Altwaijry, Muhammad Nadeem Asghar, Syed Shadab Raza, Rehan Khan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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
0.4field-weighted citation impact, top 42% 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, 5 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

7 authors at 4 institutions in 3 countries.

Anas AhmadChemical Biology Unit, Institute of Nano Science and Technology, Knowledge City, Sector-81, Mohali 140306, Punjab, India.ORCID https://orcid.org/0000-0002-1105-7526
Ravi PrakashLaboratory for Stem Cell & Restorative Neurology, Department of Biotechnology, Era's Lucknow Medical College Hospital, Sarfarazganj, Lucknow 226003, Uttar Pradesh, India.
Mohd Shahnawaz KhanDepartment of Biochemistry, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia.ORCID https://orcid.org/0000-0002-4599-5924
Nojood AltwaijryDepartment of Biochemistry, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
Muhammad Nadeem AsgharDepartment of Medical Biology, University of Québec at Trois-Rivieres, Trois-Rivieres, Québec G9A 5H7, Canada.
Syed Shadab RazaLaboratory for Stem Cell & Restorative Neurology, Department of Biotechnology, Era's Lucknow Medical College Hospital, Sarfarazganj, Lucknow 226003, Uttar Pradesh, India.
Rehan KhanChemical Biology Unit, Institute of Nano Science and Technology, Knowledge City, Sector-81, Mohali 140306, Punjab, India.ORCID https://orcid.org/0000-0002-2406-1129
Era's Lucknow Medical College and Hospital · INInstitute of Nano Science and TechnologyKing Saud University · SAUniversité du Québec à Trois-Rivières · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the major causes of cancer-linked mortality worldwide. Selective therapeutic approaches toward cancer are the need of the hour to combat cancer. Synthetic lethality is a pragmatic targeted cancer therapy in which cancer cell-specific vulnerabilities such as genetic defects/somatic mutations are exploited for selective cancer therapy by targeting genetic interactors (synthetic lethal interactors) of such mutation/defects present in cancer cells. In this study, we investigated the synthetic lethal interaction between checkpoint kinase 2 (

Identifiers

PMID35474765
PMCPMC9026038
OpenAlexW4225005429

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.