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Record W3141213720

An epidemiological study of collagenous colitis in southern Sweden from 2001-2010

2012· article· en· W3141213720 on OpenAlexaboutno aff
Lina, Vigren, Martín, Olesen, Cecilia Cecilia, Benoni, Klas, Sj berg

Bibliographic record

Venue世界胃肠病学杂志:英文版 · 2012
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyEpidemiologyColonoscopyColorectal cancerCancer
DOInot available

Abstract

fetched live from OpenAlex

瞄准:在 2001-2010 期间在南部的瑞典估计成胶的大肠炎(CC ) 的发生。方法:盒子被在 Sk 的县在病理部门在诊断寄存器寻找 CC 识别 ? ne。集水区域包括了县(在 2010 的 394307 个居民) 的西南部分并且一与有限移植混合了城市、农村的类型。在定义时期期间经历了 colonoscopy 并且正在住在这个区域的 CC 病人不管在哪儿在学习被包括在 Sk ? ne 他们被诊断了。医药记录被细看,不明确的盒子被重估保证仅仅最新诊断的 CC 盒子被包括。CC 的诊断基于临床、组织病理学说的标准。临床的标准是非流血的水的腹泻。组织病理学说的标准是一长期煽动性在薄板 propria 渗透,变厚的 subepithelial 骨胶原层 10 测微计(m) 和上皮的损坏象变平和分队那样。结果:在从 2001-2010 的十个年时期期间,在西南的 198 个 CC 病人 Sk 的县分开 ? 在南部的瑞典的 ne 最新被诊断。这些, 146 是女人, 52 是男人,即,女性:2.8:1 的男比率。在诊断的中部的年龄是 71 年(范围 28-95/inter-quartile 范围 59-81 ) ;为女人,中部的年龄是 71 (范围 28-95 ) 年并且是 73 (范围 48-92 ) 为男人的年。吝啬的年度发生是 5.4/105 居民。在时间经期 2001-2005 和 2006-2010 期间,吝啬的年度发生率是为两个时期的 5.4/105 [95% 信心间隔(CI ) :在 2001-2005 的 4.3-6.5 和在 2006-2010 的 4.4-6.4,分别地并且为整个经期的 4.7-6.2 ] 。尽管发生多年以来变化了,(到最大的 6.7/105 的最小 3.7 ) 发生的增加或减少都不能被识别。机会比率(或) 因为在与男人相比的女人的 CC 被估计是 2.8 (95% CI:2.0-3.7 ) 。为女人的 OR 65 岁以上与相比低于 65 岁是 6.9 (95% CI:5.0-9.7 ) ,并且为女人 65 岁与整个组相比的以上 OR 是 4.7 (95% CI:3.6-6.0 ) 。OR 好久一般来说,即,在上面或与比 65 年轻的那些相比的 65 岁是 8.3 (95% CI:6.2-11.1 ) 。也从 Calgary 在为 CC 的最后

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)0.002
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 score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.352
Teacher spread0.282 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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