Evidence map›Paper›PMID 40532205›Full record

Trial reportAmerican journal of respiratory and critical care medicine2025

A Randomized Controlled Trial of a Post-ICU Telehealth Care Model (WFIT).

Rita N Bakhru, Lori Flores, J Maycee Cain, Valesha Province, Jason Fanning, Himanshu Rawal, Richa Bundy, Corey S Obermiller, Adam Moses, Ajay Dharod and 3 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in American journal of respiratory and critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
  7. ICU Recovery Interventions: Is It Time for a Personalized Medicine Approach?American journal of respiratory and critical care medicine · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Rita N BakhruPulmonary, Critical Care, Allergy, and Sleep, Medical University of South Carolina, Charleston, South Carolina.
Lori FloresPulmonary, Critical Care, Allergy, and Immunologic Diseases, and.
J Maycee CainPulmonary, Critical Care, Allergy, and Immunologic Diseases, and.
Valesha ProvinceDepartment of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, Ohio.
Jason FanningHealth and Exercise Science, Wake Forest University, Winston-Salem, North Carolina; and.
Himanshu RawalDepartment of Pulmonary, Critical Care, and Sleep Medicine, Bristol Health Medical Group, Bristol Hospital, Bristol, Connecticut.
Richa BundyInternal Medicine, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
Corey S ObermillerInternal Medicine, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
Adam MosesInternal Medicine, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
Ajay DharodInternal Medicine, and.
Lindsey AbdelfattahPublic Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Amresh HanchatePublic Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
D Clark FilesPulmonary, Critical Care, Allergy, and Immunologic Diseases.

Funding

Duke Endowment 6925-SPWake Forest Clinical and Translational Science Award UL1TR001420
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Critical CareCritical IllnessIntensive Care UnitsRespiratory InsufficiencySepsisTelemedicineAgedCost-Benefit AnalysisEmergency Service, HospitalFemaleHospitalizationHumansMaleMiddle AgedPatient ReadmissionQuality of Lifecare transitionscritical carepost–intensive care syndromerecoverytelehealth

Identifiers

PMID40532205

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.