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Record W2601537557 · doi:10.1097/ccm.0000000000002308

Using Selective Serotonin Reuptake Inhibitors and Serotonin-Norepinephrine Reuptake Inhibitors in Critical Care: A Systematic Review of the Evidence for Benefit or Harm*

2017· review· en· W2601537557 on OpenAlexaff
John Kelly, Gordon D. Rubenfeld, Neil Masson, Arimie Min, Neill K. J. Adhikari

Bibliographic record

VenueCritical Care Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineReuptake inhibitorSerotonin reuptake inhibitorSerotonin Uptake InhibitorsNorepinephrine transporterSerotoninNorepinephrineInternal medicineFluoxetineDopamine

Abstract

fetched live from OpenAlex

OBJECTIVE: Selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitors are among the most commonly prescribed drugs in patients admitted to the ICU. Our objective was to systematically review available literature for evidence of benefit or harm in ICU patients resulting from chronic effects, continued use, or withdrawal. DATA SOURCES: Medline, Embase, and Cochrane Central Register of Controlled Trials (1990 to November 2014). STUDY SELECTION: We searched for studies of ICU patients with recorded selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitor prescription before or during admission, and reporting morbidity, mortality, adverse events, and resource measures like ICU length of stay. We considered all study designs. We excluded studies of deliberate overdose and depression in non-ICU settings. Two authors independently and in duplicate screened citations and reviewed text of studies to apply selection criteria. DATA EXTRACTION: Two authors abstracted data on patient characteristics in exposed and control groups; use of selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitors previously or during ICU; comparator intervention; and outcomes, and also assessed methodologic quality. DATA SYNTHESIS: The database search retrieved 4,172 unique citations, of which 289 were reviewed, and 13 studies representing a total of 20,048 patients met selection criteria. There were five cohort studies, one case series, and seven case reports. Only one case report suggested benefit from selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitor use and 11 studies reported morbidity in patients using these medications at admission to ICU. However, due to inadequate drug administration reporting, it was generally unclear if outpatient selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitors were continued in ICU, complicating interpretation. CONCLUSIONS: There may be excess morbidity in critically ill selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitor users, but uncertainty remains whether this is due to chronic effects, ongoing use, or drug withdrawal. Further research with improved standards of drug administration reporting is needed to help clinicians decide when to use selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitors in critically ill 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)0.002
metaresearch head score (Gemma)0.378
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.378
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.212
GPT teacher head0.480
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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations34
Published2017
Admission routes1
Has abstractyes

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