SynthesisMolecular diagnosis & therapy2011
Serum tests for colorectal cancer screening.
Synthesis in Molecular diagnosis & therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Evaluation of serum nucleoside diphosphate kinase A for the detection of colorectal cancer.Scientific reports · 2016Trial
- Gel-Based Proteomics of Clinical Samples Identifies Potential Serological Biomarkers for Early Detection of Colorectal Cancer.International journal of molecular sciences · 2019Article
- Photonic crystal materials and their application in biomedicine.Drug delivery · 2017Article
- Focus on genetic and epigenetic events of colorectal cancer pathogenesis: implications for molecular diagnosis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Review
- Cost-effectiveness of colorectal cancer screening in Germany: current endoscopic and fecal testing strategies versus plasma methylated Septin 9 DNA.Endoscopy international open · 2014Article
- Relationship between tumor and peripheral blood NPRL2 mRNA levels in patients with colorectal adenoma and colorectal cancer.Cancer biology & therapy · 2014Article
- Multiplexed VeraCode bead-based serological immunoassay for colorectal cancer.Journal of immunological methods · 2013Article
- Article
- Molecular events in primary and metastatic colorectal carcinoma: a review.Pathology research international · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) persists as one of the most significant causes of cancer death worldwide. Recent progress in reducing cancer mortality can largely be attributed to the implementation of screening programs. However, screening programs have not realized their full potential for the reduction of CRC mortality, because of poor adherence rates among patients. Serum biomarker screening tests offer the potential for improved patient adherence to CRC screening programs. In this review, we assess the literature regarding serum biomarkers for use as CRC screening tests for colorectal cancer and adenomas. A systematic review was performed of Medline-indexed articles pertaining to serum biomarkers for CRC screening published within the past 4 years. In addition, we searched non-Medline sources for information pertaining to screening guidelines and practice patterns for CRC. We identified 51 articles from Medline pertaining to serum biomarkers as screening tests for CRC. Non-Medline sources yielded an additional 12 articles, for a total of 63 publications reviewed. We conclude that serum tests that involve simple blood draws during routine check-ups hold significant promise for improving patient acceptance and adherence to CRC screening.
Indexed as
Identifiers
21766904What 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.