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Record W2012371257 · doi:10.3810/pgm.2000.06.1127

PROBLEMS IN INTERPRETING LABORATORY TESTS What do unexpected results mean?

2000· review· en· W2012371257 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePostgraduate Medicine · 2000
Typereview
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsPenticton Regional Hospital
Fundersnot available
KeywordsMedicinePostprandialCreatininePhysiologyMedical laboratoryErythrocyte sedimentation rateLaboratory testInternal medicinePathologyInsulin

Abstract

fetched live from OpenAlex

It is always important that physicians not overreact to apparently abnormal laboratory values by undertaking inappropriate further investigations or clinical treatments. When confronted with unexpected differing test results from repeat testing in the same individual, physicians should be aware of explanations other than laboratory error and change in the patient's clinical status. While test-related variables may be factors, intraindividual biologic variation is much more common and may be the explanation for discrepant results. For this reason, physicians need to know which laboratory tests are associated with significant intraindividual biologic variation as well as the magnitude of possible changes. Age-associated physiologic changes may significantly alter certain laboratory values in the elderly without constituting a pathologic process. Laboratory values that may appear abnormal in 10% or more of the healthy elderly without necessarily representing a pathologic process include serum alkaline phosphatase, fasting blood glucose, 2-hour postprandial glucose, erythrocyte sedimentation rate, hemoglobin, and a normal serum creatinine level in the face of a markedly decreased creatinine clearance. To ensure proper assessment of the geriatic patient, the clinician needs to be aware of these age-related changes and possible effects on laboratory values. More clinical research is needed to establish appropriate reference ranges, especially for those over the age of 75 years.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.116
GPT teacher head0.437
Teacher spread0.321 · 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