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Record W2343712637 · doi:10.1097/mib.0000000000000810

Addressing Psychological Needs of Individuals with Inflammatory Bowel Disease Is Necessary

2016· letter· en· W2343712637 on OpenAlexaff
Antonina Mikocka‐Walus, Simon R. Knowles, Laurie Keefer, Lesley A. Graff

Bibliographic record

VenueInflammatory Bowel Diseases · 2016
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineDiseaseInflammatory Bowel DiseasesPsychologyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

We thank Drs. Hopkins and Moulton for their letter, which highlights a number of the limitations we report in our systematic review.1 We agree that the use of ICD-9 coding can be an insufficient proxy for a diagnosis of depression or anxiety. We included the studies because frequently these codes are identified by clinicians and thus would reasonably classify the individuals. However, this is not the case universally, and so their inclusion potentially contributed to less precise estimates. As identified in the review, we did not undertake a meta-analysis because of the inconsistency of the published data. At the point of registering our protocol, we had anticipated that the data we reviewed would most likely be unsuitable for a meta-analysis, but we would aim to complete one if appropriate. Our decision postdata extraction was not to pool the data using meta-analysis techniques because of the evident heterogeneity. In our opinion, pooling the data in this review would be misleading. However, because no other research group has attempted a relevant systematic review to date, our intention was to move the data synthesis one step closer to a future meta-analysis, and thus we presented mean percentages/weighted means where it was possible. It can be difficult to meaningfully interpret comparisons of anxiety/depression prevalence between inflammatory bowel disease and other chronic conditions, given the heterogeneity of the patient samples in the available studies. Certainly, there is limited generalizability, and summary findings should be interpreted with caution, as we aimed to do in our report. The information was reflecting the current state of research and in fact highlights the need for further appropriate and direct comparisons with other types of chronic diseases. We argue that the conclusions arising from a systematic evaluation of each study are supported by the cited research. Given the high prevalence of mental conditions in inflammatory bowel disease and their detrimental impact on disease course,2 we find it surprising that Drs. Hopkins and Moulton question the recommendation to screen and treat anxiety and depression in inflammatory bowel disease. This would not be best practice3,4 nor in the interest of patient biopsychosocial well-being. Although we agree better quality studies are needed, our recommendation would be to focus on comparative studies with carefully selected controls rather than recommending population-based studies, which are unlikely to be feasible because of associated costs.

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)0.008
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.014
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.069
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.006
Open science0.0010.002
Research integrity0.0140.016
Insufficient payload (model declined to judge)0.0090.002

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 head0.019
GPT teacher head0.270
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2016
Admission routes1
Has abstractyes

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