MétaCan
Menu
Back to cohort
Record W2980843453

Sheehan's Syndrome-The Most Common Cause of Panhypopituitarism at Moderate Altitude: A Sub-Himalayan Study.

2017· article· en· W2980843453 on OpenAlexaff
Jatinder Mokta, Asha Ranjan, Surinder Thakur, Rajesh Bhawani, Kiran Mokta, Jai Bharat Sharma, Manish Kumar

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsMedicine Hat College
Fundersnot available
KeywordsMedicineHypopituitarismEtiologyPediatricsRetrospective cohort studyRadiological weaponPresentation (obstetrics)Medical recordSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Background: Panhypopituitarism is a rare disorder with varied clinical presentation having various etiologies. Sheehan's syndrome (SS) is decreasing in frequency worldwide and is a rare cause of panhypopituitarism in developed nations. Methodology: A retrospective study done between May 2011 and May 2015 in tertiary care hospital. We reviewed the records of patients with hypopituitarism. Clinical features, hormonal profile and radiological investigations noted. Results: Total 14 patients of panhypopituitarism included with average duration of symptoms 1.93± 1.96 years. four (28.57%) were males and ten (71.43%) were females with mean age of diagnosis 37.78± 13.68 years. Sheehan's syndrome (SS) was the most common cause of panhypopituitarism in 57.14%(8 patients), followed by post surgery in 14.28% (2 patients). 80% of women had SS with a mean duration of symptoms 2.39±1.54 years. Conclusion: Sheehan's syndrome is not uncommon in developing countries, High degree of clinical suspicion is desired as clinical features are most often subtle.

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)0.000
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.269
Teacher spread0.234 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicPituitary Gland Disorders and TreatmentsFrench-language works237,207