Literature DB >> 20543703

Variations in hemoglobin before colorectal cancer diagnosis.

Inbal Goldshtein1, Uri Neeman, Gabriel Chodick, Varda Shalev.   

Abstract

We have conducted the present case-control study to examine whether long-term variations in blood hemoglobin (Hb) levels within the normal range could detect subtle gastrointestinal bleeding in the early development of colorectal cancer (CRC). A total of 1074 CRC cases aged 45-75 years that have been diagnosed with CRC and had normal Hb levels were frequency matched for age and sex with cancer-free individuals at a ratio of 10 controls per case. Our retrospective analysis indicates that starting from 4 years prior to cancer diagnosis, a progressive significant (P<0.001) decrement in Hb levels (0.28 g/dl per 6 months) was found among cases but not among controls. CRC patients were characterized in an on-going, long-term, logarithmic decrement in Hb levels. Such small changes within the normal Hb range could be missed by health providers, but automatically detected by computerized alert algorithms..

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Year:  2010        PMID: 20543703     DOI: 10.1097/CEJ.0b013e32833c1be0

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  6 in total

1.  A Risk Prediction Model for Sporadic CRC Based on Routine Lab Results.

Authors:  Ben Boursi; Ronac Mamtani; Wei-Ting Hwang; Kevin Haynes; Yu-Xiao Yang
Journal:  Dig Dis Sci       Date:  2016-02-19       Impact factor: 3.199

2.  Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.

Authors:  Mark C Hornbrook; Ran Goshen; Eran Choman; Maureen O'Keeffe-Rosetti; Yaron Kinar; Elizabeth G Liles; Kristal C Rust
Journal:  Dig Dis Sci       Date:  2017-08-23       Impact factor: 3.199

3.  An unsupervised learning method to identify reference intervals from a clinical database.

Authors:  Sarah Poole; Lee Frederick Schroeder; Nigam Shah
Journal:  J Biomed Inform       Date:  2015-12-19       Impact factor: 6.317

4.  Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study.

Authors:  Yaron Kinar; Nir Kalkstein; Pinchas Akiva; Bernard Levin; Elizabeth E Half; Inbal Goldshtein; Gabriel Chodick; Varda Shalev
Journal:  J Am Med Inform Assoc       Date:  2016-02-15       Impact factor: 4.497

Review 5.  The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal.

Authors:  Pradeep S Virdee; Ioana R Marian; Anita Mansouri; Leena Elhussein; Shona Kirtley; Tim Holt; Jacqueline Birks
Journal:  Cancers (Basel)       Date:  2020-08-19       Impact factor: 6.639

6.  An exploratory study on TCM syndrome differentiation in preoperative patients with colorectal cancer assisted by laboratory indicators.

Authors:  Ya-Nan Wang; Min Zou; Dou Wang; Zhi-Kuan Zhang; Lian-Ping Qu; Jing Xu; Cai-Dong Shi; Feng Gao
Journal:  Heliyon       Date:  2022-08-14
  6 in total

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