Evidence map›Paper›PMID 37520706›Full record

ReviewiScience2023

Emerging biomedical imaging-based companion diagnostics for precision medicine.

Shiyi Liao, Mengjie Zhou, Youjuan Wang, Chang Lu, Baoli Yin, Ying Zhang, Huiyi Liu, Xia Yin, Guosheng Song

Abstract readReview
In one paragraph

Review in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  6. Review
  7. Article
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  10. Article
  11. 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

9 authors.

Shiyi LiaoState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Mengjie ZhouState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Youjuan WangState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Chang LuState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Baoli YinState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Ying ZhangState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Huiyi LiuState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Xia YinState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.
Guosheng SongState Key Laboratory for Chemo, Biosensing and Chemometrics, College of Chemistry and Chemical, Engineering, Hunan University, Changsha 410082, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor heterogeneity, which leads to individual variations in tumor microenvironments, causes poor prognoses and limits therapeutic response. Emerging technology such as companion diagnostics (CDx) detects biomarkers and monitors therapeutic responses, allowing identification of patients who would benefit most from treatment. However, currently, most US Food and Drug Administration-approved CDx tests are designed to detect biomarkers

Indexed as

Biomedical engineeringDiagnostics

Identifiers

PMID37520706
PMCPMC10371849

What OpenQuestion holds

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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.