Evidence map›Paper›PMID 33640841›Full record

ArticleSleep medicine2021

Validation of the Insomnia Severity Index (ISI) for identifying insomnia in young adult cancer survivors: comparison with a structured clinical diagnostic interview of the DSM-5 (SCID-5).

Alexis L Michaud, Eric S Zhou, Grace Chang, Christopher J Recklitis

Abstract read
In one paragraph

Article in Sleep medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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  12. Sleep reactivity predicts insomnia in patients diagnosed with breast cancer.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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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.

Alexis L MichaudDana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, USA.
Eric S ZhouDana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA.
Grace ChangHarvard Medical School, 25 Shattuck Street, Boston, MA, USA.
Christopher J RecklitisDana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA. Electronic address: Christopher_Recklitis@dfci.harvard.edu.

Funding

Identifying PTSD in Young Adult Cancer Survivors in the DSM-5 Era: Are Newly Revised PRO Measures Accurate Compared to a Structured Diagnostic Interview?R21CA223832 · NCI · DANA-FARBER CANCER INST · PI RECKLITIS, CHRISTOPHER JOHN · 2018 to 2019
$561k
NCI NIH HHS R21 CA223832
6 · The paper itself

Abstract

objectivesInsomnia is a common problem affecting young adult cancer survivors (YACS) even years after treatment, yet it often goes unidentified and untreated. The Insomnia Severity Index is a widely-used insomnia measure, but has not been studied as an insomnia screener for YACS. The goal of this study was to validate the ISI in YACS by determining its utility in identifying YACS with insomnia disorder diagnosed with the Structured Clinical Interview for the DSM-5 (SCID-5).

methods250 YACS completed the ISI and SCID-5 Insomnia Module. Area under the curve (AUC) was calculated to reflect the ISI's discrimination between YACS with and without SCID-5 insomnia disorder. An ISI cut-off score with sensitivity ≥0.85 and specificity ≥0.75 was deemed acceptable.

resultsOf 250 participants, 52 met criteria for SCID-5 insomnia disorder diagnosis. The ISI had excellent discrimination, with an AUC = 0.91. A cut-off score ≥8 met study clinical screening criteria with sensitivity of 0.85 and specificity of 0.77. A cut-off score ≥7 with a higher sensitivity (0.96) but lower specificity (0.70) was noted as a potential alternative. Cut-off scores ≥12 and ≥ 14 were recommended for applications prioritizing overall accuracy.

conclusionsResults support validity of the ISI for identifying YACS with insomnia disorder. For clinical screening, data support the use of an ISI cut-off score ≥8 in YACS, and additional cut-off scores were found for research purposes or higher sensitivity. Results of this study and prior studies of the ISI offer important reminders that cut-off scores derived from different populations are not generalizable.

Indexed as

Cancer SurvivorsNeoplasmsSleep Initiation and Maintenance DisordersDiagnostic and Statistical Manual of Mental DisordersHumansMass ScreeningYoung AdultCancer survivorsDiagnostic and statistical manual of mental disordersSensitivity and specificitySleepSleep initiation and maintenance disordersYoung adult

Identifiers

PMID33640841
PMCPMC8096662

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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.