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A critical appraisal of lithium’s efficacy and effectiveness: the last 60 years

2009· review· en· W2157692874 on OpenAlexaff
Paul Grof, B. Müller‐Oerlinghausen

Bibliographic record

VenueBipolar Disorders · 2009
Typereview
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsSaint Paul UniversityUniversity of Toronto
Fundersnot available
KeywordsLithium (medication)ConvictionBipolar disorderMoodPsychologyCritical appraisalPsychiatryPsychotherapistMood disordersValue (mathematics)MedicineClinical psychologyAlternative medicineComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

The history that depicts the evaluation of lithium's efficacy presents an interesting contrast: on the one hand, conviction that, of all psychotropic drugs, lithium has the best demonstrated efficacy; on the other hand, repeated attempts to question it. Those contesting lithium's stabilizing abilities have argued from several angles, for example that the proof was methodologically incorrect or insufficient, that the number of responders is small, or that the response is poor in practice and does not last. But there is a good explanation for this paradox. While the early challenges to lithium's value in recurrent mood disorders reflected mainly that psychiatry had not yet developed a methodology suitable for testing long-term efficacy, more recent questioning has resulted mostly from retesting its efficacy and effectiveness in a substantially broadened bipolar spectrum, outside the classical diagnosis. Lithium, however, continues to stabilize very well the patients suffering from typical bipolar disorder--the condition for which its efficacy was originally demonstrated. More recently, lithium has also proven to dramatically reduce suicidal behavior and mortality and to augment markedly the efficacy of antidepressants in unresponsive patients.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.348
Teacher spread0.326 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations88
Published2009
Admission routes1
Has abstractyes

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