Evidence map›Paper›PMID 26364060›Full record

ReviewCurrent psychiatry reports2015

Insomnia in the Military: Application and Effectiveness of Cognitive and Pharmacologic Therapies.

Vincent F Capaldi, Jessica R Kim, Antigone A Grillakis, Maura R Taylor, Carla M York

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Prescription Patterns of Sedative Hypnotic Medications in the Military Health System.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019
    Article
  7. Article
  8. Review
  9. 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

5 authors at 2 institutions in 1 country.

Vincent F CapaldiWalter Reed Army Institute of Research (WRAIR), 503 Robert Grant Avenue, Silver Spring, MD, 20910, USA. Vincent.f.capaldi.mil@mail.mil.
Jessica R KimWalter Reed Army Institute of Research (WRAIR), 503 Robert Grant Avenue, Silver Spring, MD, 20910, USA.
Antigone A GrillakisWalter Reed Army Institute of Research (WRAIR), 503 Robert Grant Avenue, Silver Spring, MD, 20910, USA.
Maura R TaylorWalter Reed Army Institute of Research (WRAIR), 503 Robert Grant Avenue, Silver Spring, MD, 20910, USA.
Carla M YorkWalter Reed National Military Medical Center, Sleep Disorders Center, 8901 Rockville Pike, Bethesda, MD, 20889, USA.
Walter Reed Army Institute of Research · USWalter Reed National Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insomnia is one of the most common complaints of US armed service members. Diagnosis and treatment of insomnia in active duty and veteran populations are often complicated by comorbid disorders experienced by military personnel, such as post-traumatic stress disorder (PTSD) and traumatic brain injury (TBI). Cognitive behavioral therapy for insomnia (CBTi), pharmacologic interventions, and alternative therapies are discussed as relevant to their applications within military populations. Future directions in research are suggested.

Indexed as

Cognitive Behavioral TherapyBrain InjuriesComorbidityHumansMilitary PersonnelSleep Initiation and Maintenance DisordersStress Disorders, Post-TraumaticTreatment OutcomeUnited StatesVeteransCognitive behavioral therapy for insomniaInsomniaMilitarySleep

Identifiers

PMID26364060
OpenAlexW2101034256

What OpenQuestion holds

Textmetadata
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.