ReviewCancers2020
The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal.JMIR cancer · 2025Pooled it
- Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection of Colorectal Cancer: A Systematic Review.Iranian journal of medical sciences · 2024Pooled it
- Blood test trend versus single threshold abnormality to discriminate cancer from non-cancer in patients with unexpected weight loss: A retrospective cohort study.PLoS medicine · 2026Article
- Article
- The Predictive Value of Red Cell Distribution Width in End-Stage Colorectal Cancers' 6-Month Palliative Chemotherapy Response-A Single Center's Experience.Journal of personalized medicine · 2025Article
- Reference intervals of haematological indices for young adults with sickle cell anaemia in Southwestern Nigeria.BMC research notes · 2025Article
- Development and external validation of prediction algorithms to improve early diagnosis of cancer.Nature communications · 2025Article
- Association between red blood cell distribution width to albumin ratio and prostate specific antigen based on NHANES data.American journal of translational research · 2025Article
- Diagnostic application of the ColonFlag AI tool in combination with faecal immunochemical test in patients on an urgent lower gastrointestinal cancer pathway.BMJ open gastroenterology · 2024Article
- The Association between Blood Test Trends and Undiagnosed Cancer: A Systematic Review and Critical Appraisal.Cancers · 2024Review
- Consumption of Feed Supplemented with Oat Beta-Glucan as a Chemopreventive Agent against Colon Cancerogenesis in Rats.Nutrients · 2024Article
- Predictive value of red blood cell distribution width and hematocrit for short-term outcomes and prognosis in colorectal cancer patients undergoing radical surgery.World journal of gastroenterology · 2024Article
- Predicting colorectal cancer risk: a novel approach using anemia and blood test markers.Frontiers in oncology · 2024Article
- Thromboelastography (TEG) parameters as potential predictors of malignancy and tumor progression in colorectal cancer.World journal of surgical oncology · 2023Article
- Complete Blood Count Alterations Prior to the Diagnosis of Colorectal Cancer May Help in the Detection of Synchronous Liver Metastases.Journal of clinical medicine · 2023Article
- Colorectal Cancer Fast Tracks: Cancer Yield and the Predictive Value of Entry Criteria.Cancers · 2023Article
- Impact of Patient Comorbidities on Presentation Stage of Breast and Colon Cancers.Annals of surgical oncology · 2023Article
- Fundamentals of Bowel Cancer for Biomedical Engineers.Annals of biomedical engineering · 2023Review
- Article
- Additive pre-diagnostic and diagnostic value of routine blood-based biomarkers in the detection of colorectal cancer in the UK Biobank cohort.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
introductionA full blood count (FBC) blood test includes 20 components. We systematically reviewed studies that assessed the association of the FBC and diagnosis of colorectal cancer to identify components as risk factors. We reviewed FBC-based prediction models for colorectal cancer risk.
methodsMEDLINE, EMBASE, CINAHL, and Web of Science were searched until 3 September 2019. We meta-analysed the mean difference in FBC components between those with and without a diagnosis and critically appraised the development and validation of FBC-based prediction models.
resultsWe included 53 eligible articles. Three of four meta-analysed components showed an association with diagnosis. In the remaining 16 with insufficient data for meta-analysis, three were associated with colorectal cancer. Thirteen FBC-based models were developed. Model performance was commonly assessed using the c-statistic (range 0.72-0.91) and calibration plots. Some models appeared to work well for early detection but good performance may be driven by early events.
conclusionRed blood cells, haemoglobin, mean corpuscular volume, red blood cell distribution width, white blood cell count, and platelets are associated with diagnosis and could be used for referral. Existing FBC-based prediction models might not perform as well as expected and need further critical testing.
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What OpenQuestion holds
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.