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Record W2884998046

Hospitalize Yaşlı Hastalarda Kırılganlığın ve Etkilerinin Değerlendirilmesi

2018· dissertation· tr· W2884998046 on OpenAlexaboutno aff
Nurefşan Cihangiroğlu Ünal

Bibliographic record

Venuenot available
Typedissertation
Languagetr
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsHastaGynecologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

OZET Dr. Nurefsan CIHANGIROĞLU UNAL. Hospitalize Yasli Hastalarda Kirilganligin ve Etkilerinin Degerlendirilmesi. Hacettepe Universitesi Tip Fakultesi Ic Hastaliklari Anabilim Dali, Uzmanlik Tezi olarak hazirlanmistir. Ankara, 2017. Kirilganlik hospitalize yasli hastalarda yuksek prevelansla izlenen ve genellikle tanisi atlanilan bir geriatrik sendromdur. Bu calismada akut saglik sorunlariyla hospitalize edilen yasli hastalarda kirilganligin kolay uygulanabilir, pratik yontemlerle tespit edilmesi ve kotu saglik sonlanimlari uzerine etkisinin incelenmesi amaclanmistir. Calismaya Mart 2017 ile Eylul 2017 tarihleri arasinda Hacettepe Ic Hastaliklari Servisleri’ ne akut saglik kotulesmesiyle yatisi yapilan 65 yas ve uzeri toplam 57 hasta dahil edildi. Hastalarin kirilganlik olcumleri Edmonton kirilganlik skalasi (EKS) ve klinik kirilganlik skalasi (KKS) kullanilarak yapildi. Hastalara kapsamli geriatrik degerlendirme testleri uygulandi. Biyoelektrik-empedans analiz yontemi (BIA) ile kas kutlesi olcumu ve el sikma gucu ile kuvvet olcumu yapildi. Hastalar yatis suresi boyunca kotu saglik sonlanimlari acisindan takip edildi. Kapsamli geriatrik degerlendirme sonuclari her olcekle yapilan olcumlerde de kirilganlikla iliskili bulundu. Spearman korelasyon analizinde EKS ile diger testler arasinda anlamli korelasyon saptandi. Kirilgan hastalarda el sikma kuvveti olcumlerinin kirilgan olmayan hastalara gore daha dusuk oldugu ve EKS puanlariyla el sikma gucu testi degerleri arasinda anlamli korelasyon oldugu goruldu. Kirilgan bireylerde hastane yatis suresinin kirilgan olmayan bireylere gore daha uzun oldugu tespit edildi ancak bu fark istatistiksel olarak anlamli bulunmadi. Hastane takibi sirasinda 1 hasta mortalite ile sonuclanmis olup, bu hasta her iki olcum yonteminde de kirilgan hasta grubuna dahildi. Anahtar sozcukler: Edmonton kirilganlik skalasi, el sikma gucu, kirilganlik, yatis suresi.

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)0.003
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0620.017

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 head0.015
GPT teacher head0.295
Teacher spread0.280 · 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 routes1
Has abstractyes

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