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Record W2167623644 · doi:10.1136/ebn.8.2.57

Review: capillary refill time, abnormal skin turgor, and abnormal respiratory pattern are useful signs for detecting dehydration in children

2005· letter· en· W2167623644 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

VenueEvidence-Based Nursing · 2005
Typeletter
Languageen
FieldMedicine
TopicMedical Case Reports and Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsGold standard (test)MedicineDehydrationCapillary refillWeb of sciencePediatricsGastroenterologyInternal medicineChemistryMeta-analysis

Abstract

fetched live from OpenAlex

Steiner MJ, DeWalt DA, Byerley JS. Is this child dehydrated? JAMA 2004;291:2746–54.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What is the accuracy of signs, symptoms, and laboratory tests for detecting dehydration in children? ### ![Graphic][5]</img>Data sources: Medline (1966 to April 2003), Cochrane Library , reference lists, and experts in the field. ### ![Graphic][6]</img>Study selection and assessment: studies in any language that compared signs, symptoms, and laboratory values with a recognised gold standard for diagnosing dehydration (rehydration weight minus acute weight divided by rehydration weight) in children (0–18 y). Study quality was ranked from highest (level 1 = independent, blind comparison of test with a valid gold standard) to lowest (level 5 = non-independent comparison of test with an uncertain standard of validity, which may incorporate the test result into the gold standard). ### ![Graphic][7]</img>Outcomes: sensitivity, specificity, and positive and negative likelihood … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.aulast%253DSteiner%26rft.auinit1%253DM.%2BJ.%26rft.volume%253D291%26rft.issue%253D22%26rft.spage%253D2746%26rft.epage%253D2754%26rft.atitle%253DIs%2BThis%2BChild%2BDehydrated%253F%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.291.22.2746%26rft_id%253Dinfo%253Apmid%252F15187057%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.291.22.2746&link_type=DOI [3]: /lookup/external-ref?access_num=15187057&link_type=MED&atom=%2Febnurs%2F8%2F2%2F57.atom [4]: /lookup/external-ref?access_num=000221862300030&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.043
GPT teacher head0.307
Teacher spread0.264 · 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