Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 611

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Post-intensive care syndrome: An overview

Open access
Rawal, Gautam, Yadav, Sankalp, Kumar, Raj·2017·Journal of Translational Internal Medicine

Abstract

Survival of critically unwell patients has improved in the last decade due to advances in critical care medicine. Some of these survivors develop cognitive, psychiatric and /or physical disability after treatment in intensive care unit (ICU), which is now recognized as post intensive care syndrome (PICS). Given the limited awareness about PICS in the medical faculty this aspect is often overlooked which may lead to reduced quality of life and cause a lot of suffering of these patients and their families. Efforts should be directed towards preventing PICS by minimizing sedation and early mobilization during ICU.All critical care survivors should be evaluated for PICS and those having signs and symptoms of it should be managed by a multidisciplinary team which includes critical care physician, neuro-psychiatrist, physiotherapist and respiratory therapist, with the use of pharmacological and non-apharmacological interventions. This can be achieved through an organizational change and improvement, knowing the high rate of incidence of PICS and its adverse effects on the survivor’s life and daily activities and its effect on the survivor’s family.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1515/jtim-2016-0016

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 9 references

Cited by

See all 611

Metadata

Authors
Rawal, G., Yadav, S., & Kumar, R.
Venue
Journal of Translational Internal Medicine
Published
2017-06-01
Volume
5
Issue
2
Pages
90-92
ISSN
2224-4018 (ISSN-L)
OpenAlex
W2728990317
Cited by
611
References
9
FWCI
31.39
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Post-intensive care syndrome: An overview. https://app.cochat.ai/papers/10.1515/jtim-2016-0016
The paper
Rawal, G., Yadav, S., & Kumar, R. (2017). Post-intensive care syndrome: An overview. Journal of Translational Internal Medicine. https://doi.org/10.1515/jtim-2016-0016

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.