Evidence map›Paper›PMID 25672219›Full record

SynthesisCritical care (London, England)2014

Diagnostic accuracy of delirium diagnosis in pediatric intensive care: a systematic review.

Alia Daoud, Jonathan P Duff, Ari R Joffe, Alberta Sepsis Network

Abstract readSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Prevalence and Risk Factors of Pediatric Delirium in Critically Ill Children: A Study Using Cornell Assessment of Pediatric Delirium Tool at a Tertiary Care Hospital.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Frequency and Causes of Delirium in Pediatric Intensive Care Unit: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alia Daoud
Jonathan P Duff
Ari R Joffe
Alberta Sepsis Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDelirium is common in adult intensive care, with validated tools for measurement, known risk factors and adverse neurocognitive outcomes. We aimed to determine what is known about pediatric delirium in the pediatric intensive care unit (PICU).

methodsWe conducted a systematic search for and review of studies of the accuracy of delirium diagnosis in children in the PICU. Secondary aims were to determine the prevalence, risk factors and outcomes associated with pediatric delirium. We created screening and data collection tools based on published recommendations.

resultsAfter screening 145 titles and abstracts, followed by 35 full-text publications and reference lists of included publications, 9 reports of 5 studies were included. Each of the five included studies was on a single index test: (1) the Pediatric Anesthesia Emergence Delirium Scale (PAED; for ages 1 to 17 years), (2) the Pediatric Confusion Assessment Method for the Intensive Care Unit (p-CAM-ICU; for ages ≥ 5 years), (3) the Cornell Assessment of Pediatric Delirium (CAP-D; a modification of the PAED designed to detect hypoactive delirium), (4) the revised Cornell Assessment of Pediatric Delirium (CAP-D(R)) and (5) clinical suspicion. We found that all five studies had a high risk of bias on at least one domain in the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Sample size, sensitivity, specificity, and effectiveness (correct classification divided by total tests done) were: PAED 144, 91%, 98%, <91% (>16% of scores required imputation for missing data); p-CAM 68, 78%, 98%, 96%; CAP-D 50, 91%, 100%, 89%; CAP-D (R) 111, and of assessments 94%, 79%, <82% (it is not clear if any assessments were not included); and clinical suspicion 877, N/A (only positive predictive value calculable, 66%). Prevalence of delirium was 17%, 13%, 28%, 21%, and 5% respectively. Only the clinical suspicion study researchers statistically determined any risk factors for delirium (pediatric risk of mortality, pediatric index of mortality, ventilation, age) or outcomes of delirium (length of stay and mortality).

conclusionHigh-quality research to determine the accuracy of delirium screening tools in the PICU are required before prevalence, risk factors and outcomes can be determined and before a routine screening tool can be recommended. Direct comparisons of the p-CAM-ICU and CAP-D(R) should be performed.

Indexed as

AnesthesiaChildDeliriumHumansIntensive Care Units, PediatricPsychiatric Status Rating Scales

Identifiers

PMID25672219
PMCPMC4207322

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.