Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

458
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
458
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.1K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.1K
Serum Laboratory Studies, Stool Test, Breath Test01:30

Serum Laboratory Studies, Stool Test, Breath Test

476
Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
476
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

7.8K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Compliance with existing standards: overview comparing Cochrane with non-Cochrane living systematic reviews.

Systematic reviews·2026
Same author

A realist synthesis of integrated palliative care and oncology: Synopsis.

Health and social care delivery research·2026
Same author

Cost-effectiveness of N-terminal pro-B-type natriuretic peptide thresholds for echocardiography referral in primary care heart failure management.

Heart (British Cardiac Society)·2026
Same author

Understanding the primary-secondary care interface and its impact on workforce sustainability: a realist review protocol.

BJGP open·2026
Same author

Who are we listening to? A Systematic Scoping Review of Surveys Exploring Patient Satisfaction, Care Experience, And Access to Primary Care Services.

The British journal of general practice : the journal of the Royal College of General Practitioners·2026
Same author

Birth outcomes for women with pre-existing mental health problems: a systematic review and meta-analysis.

BMJ open·2026

Related Experiment Video

Updated: Sep 17, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

201

Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and

Pradeep S Virdee1, Kiana K Collins1, Claire Friedemann Smith1

  • 1Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG, United Kingdom, 44 1865617855.

JMIR Cancer
|June 27, 2025
PubMed
Summary

Blood test trends can improve cancer risk prediction, but current models are limited. Further research is needed to develop and validate these tools for broader cancer screening applications.

Keywords:
blood testcancerhematologic testsneoplasmsprediction modelprimary health caresystematic reviewtrend

More Related Videos

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

15.8K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

381

Related Experiment Videos

Last Updated: Sep 17, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

201
MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

15.8K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

381

Area of Science:

  • Medical Diagnostics
  • Oncology
  • Biostatistics

Background:

  • Blood tests are typically used in isolation to identify cancer risk.
  • Some models use blood test trends for improved individualized cancer risk identification.
  • Trends within normal blood test ranges may indicate elevated cancer risk.

Purpose of the Study:

  • Critically appraise diagnostic prediction models that incorporate blood test trends for cancer risk.
  • Evaluate the building, validation, and reporting of these models.
  • Assess the added value and performance of blood test trends in cancer prediction.

Main Methods:

  • Systematic literature search of MEDLINE and EMBASE for relevant studies.
  • Narrative synthesis of model building, validation, and reporting strategies.
  • Meta-analysis of the c-statistic for trend-based models and risk of bias assessment using PROBAST.

Main Results:

  • 16 articles identified, with 7 models developed and 14 external validations.
  • Full blood count (FBC) trends were most common (86%); colorectal cancer was frequently modeled (43%).
  • Models showed variable performance (c-statistic 0.69-0.87), with limited external validation and calibration assessment; high risk of bias in analysis was noted.

Conclusions:

  • Blood test trends show potential for cancer risk assessment and guiding further investigation.
  • Existing models are not widely available for most cancer types and lack robust external validation and calibration assessment.
  • Improvements in model development, validation, and reporting are necessary for clinical utility.