Evidence map›Paper›PMID 38202898›Full record

ReviewSensors (Basel, Switzerland)2023

Biomarkers in Cancer Detection, Diagnosis, and Prognosis.

Sreyashi Das, Mohan Kumar Dey, Ram Devireddy, Manas Ranjan Gartia

Registry-linked trialAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06929910 (Evaluation of Systemic Therapy and the Effectiveness of Circulating Tumor DNA), which is not on this map. Cited by 162 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 3 pooled it
–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.

NCT06929910 recruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of Systemic Therapy and the Effectiveness of Circulating Tumor DNA (ctDNA) Assays in Monitoring Treatment Response in Patients With Metastatic Cancer Undergoing K4Care Testing

Typeobservational_patient_registrySponsorGene SolutionsRan2025 to 2027Enrolled200ConditionsMetastatic Cancers
3 · Its place in the literature

Who cites it

162 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Artificial intelligence in respiratory medicine: From diagnosis to treatment and future directions.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
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102 more citing papers are in PubMed but not listed here.

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

4 authors.

Sreyashi DasDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0002-2675-5714
Mohan Kumar DeyDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0003-0619-7804
Ram DevireddyDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0002-1169-1519
Manas Ranjan GartiaDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0001-6243-6780

Funding

National Science Foundation, USA 2045640
6 · The paper itself

Abstract

Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis, prognosis, treatment response, and personalized medicine. They serve as objective indicators, enabling early detection and intervention, leading to improved patient outcomes and reduced costs. Biomarkers also guide treatment decisions by predicting disease outcomes and facilitating individualized treatment plans. They play a role in monitoring disease progression, adjusting treatments, and detecting early signs of recurrence. Furthermore, biomarkers enhance drug development and clinical trials by identifying suitable patients and accelerating the approval process. In this review paper, we described a variety of biomarkers applicable for cancer detection and diagnosis, such as imaging-based diagnosis (CT, SPECT, MRI, and PET), blood-based biomarkers (proteins, genes, mRNA, and peptides), cell imaging-based diagnosis (needle biopsy and CTC), tissue imaging-based diagnosis (IHC), and genetic-based biomarkers (RNAseq, scRNAseq, and spatial transcriptomics).

Indexed as

NeoplasmsBiomarkersDisease ProgressionGene Expression ProfilingHumansPrognosisBiomarkersbiomarkersCT needle biopsyDNAlipidsMRIPETproteomicsRNARNAseq

Identifiers

PMID38202898
PMCPMC10780704

What OpenQuestion holds

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Registered trials

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.