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Record W2792188810 · doi:10.1093/jcag/gwy009.220

A220 TIME TO DIAGNOSIS OF COLORECTAL CANCER FROM FINDING OF IRON DEFICIENCY ANEMIA

2018· article· en· W2792188810 on OpenAlexaffabout
Na Zhou, Jacqueline Costello

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsMemorial University of NewfoundlandUniversity of Ottawa
Fundersnot available
KeywordsMedicineMicrocytosisColorectal cancerAnemiaIron-deficiency anemiaIron deficiencyCancerReferralColonoscopyInternal medicineIncidence (geometry)PediatricsGastroenterologyFamily medicine

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) is the 3rd most commonly diagnosed cancer within Canada. Newfoundland has the highest CRC incidence rates per capita and mortality rates in the country. There have been several well documented signs and symptoms of CRC, including microcytic anemia/iron deficiency anemia (IDA). Current practice is to have those with IDA be considered for upper or lower GI investigations. Delays in referral for appropriate investigations can lead to a delay in diagnosis. It has been demonstrated that early detection of CRC can improve survival. Referral to those who are able to perform endoscopy of the GI tract or other methods of accessing the GI tract can decrease the amount of time from documentation of IDA to diagnosis of CRC. The cornerstone of CRC treatment remains early diagnosis and early treatment. Determine the amount of time between documentation of either iron deficiency anemia, microcytosis, or hypoferritinemia and subsequent diagnosis of colorectal cancer This is a retrospective study on all patients in Newfoundland with a new diagnosis of colorectal cancer in the year 2009. Records were obtained from the Dr. H Bliss Murphy Cancer Care center. A chart review was completed to determine how many patients had either pre-existing iron deficiency anemia (IDA) - defined as a hemoglobin below 120 g/L for women, or a hemoglobin below 140 g/L for men; a microcytosis – defined as an MCV below 80 μm3; or a ferritin below 50 ng/ml. Time from laboratory finding to diagnosis was calculated. The date of diagnosis was determined by the date of submission of the pathology sample confirming histologic evidence of colorectal cancer. 500 patients were diagnosed with colorectal cancer in 2009 in Newfoundland. Of the 500 patients, we were able to obtain laboratory data prior to the diagnosis of CRC on 1 or more of our parameters on 213 patients. Of the 213 patients 120 had anemia, 46 had microcytosis and 72 had hypoferritinemia prior to their diagnosis of colorectal cancer. The median time from documentation of anemia to diagnosis of colorectal cancer was 92 days while the mean time was 377 days. The median time from documentation of microcytosis to colorectal cancer was 19 days while the mean time was 130 days. The median time from documentation of hypoferritinemia to colorectal cancer was 145.5 days while the mean time was 480 days. In 2009, the median time from documentation of IDA to CRC was longer than the recommended standard for wait times for investigation of IDA (Recommended standard wait times are within 60 days). In a province that has high rates and high mortality from CRC, our aim should be to improve timely investigation of IDA as early detection can improve outcomes None

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.239
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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