MétaCan
Menu
Back to cohort
Record W6982312059

HUBUNGAN RIWAYAT KELUARGA DENGAN KEJADIAN KANKER PAYUDARA PREMENOPAUSE PADA ETNIS MINANGKABAU

2019· dissertation· id· W6982312059 on OpenAlexaboutno aff

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2019
Typedissertation
Languageid
FieldHealth Professions
TopicHealth Services Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEpidemiologyOccupational exposureEpisiotomyRisk factor
DOInot available

Abstract

fetched live from OpenAlex

Kanker payudara menempati urutan pertama yang menyerang perempuan Indonesia. Riwayat keluarga merupakan salah satu faktor internal yang memegang peranan penting terhadap kejadian kanker payudara. Onset menopause dikaitkan dengan peningkatan risiko kanker payudara. Kejadian kanker payudara premenopause pada negara berkembang dengan usia rata-rata pasien sekitar 50 tahun. Tujuan penelitian ini untuk mengetahui hubungan riwayat keluarga dengan kejadian kanker payudara premenopause pada etnis Minangkabau. \nPenelitian ini merupakan penelitian analitik observasional kuantitatif dengan rancangan berupa case control retrospektif. Data primer didapatkan dari hasil wawancara langsung pada kelompok kontrol dan melalui telepon pada kelompok kasus yang disertai dengan pengisian kuesioner riwayat kanker keluarga modifikasi dari Kingston General Hospital Cancer Centre Of Southeastern Ontario. Data sekunder menggunakan data pasien onkologi di Bagian Ilmu Bedah RSUP Dr. M. Djamil Padang. Sampel terdiri dari 125 orang kelompok kasus dan 125 orang kelompok kontrol dengan usia 30 – 50 tahun dan berasal dari etnis Minangkabau. Penelitian dilakukan pada September 2019 – Desember 2019. Chi Square digunakan untuk menganalisis hubungan. \nBerdasarkan penelitian ini dapat disimpulkan bahwa distribusi kanker payudara terbanyak pada kelompok umur 41-45 tahun. Pada penelitian ini ditemukan riwayat kanker pada saudara perempuan (OR : 1,534, 95% CI: 0,531-4,460), kanker pada ibu (Odds Ratio (OR): 1,177, 95% CI: 0,384-3,605), kanker pada ayah (OR: 1, 95% CI: 0,198-5,052). Hanya 12,8% kasus kanker payudara pada penelitian ini memiliki riwayat kanker pada keluarga. Wanita berisiko menderita kanker payudara 1,5 kali lipat jika saudara perempuannya terkena kanker dan 1,2 kali lipat jika ibunya terkena kanker. Riwayat kanker pada keluarga meningkatkan risiko kejadian kanker payudara. \nKata Kunci: Kanker Payudara, Riwayat Keluarga, Premenopause, Etnis Minang

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)0.001
metaresearch head score (Gemma)0.001
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 score0.158
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0360.004

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 head0.029
GPT teacher head0.297
Teacher spread0.268 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAndalas University eThesis (Andalas University)Same topicHealth Services Management and PolicyFrench-language works237,207