Evidence map›Paper›PMID 26781179›Full record

Observational studyCritical care (London, England)2016

High incidence of adverse events during intra-hospital transport of critically ill patients and new related risk factors: a prospective, multicenter study in China.

Liu Jia, Hongliang Wang, Yang Gao, Haitao Liu, Kaijiang Yu

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Lung Ultrasound Score in COVID-19 Patients Correlates with POThe western journal of emergency medicine · 2024
    Pooled it
  2. Article
  3. Development and Validation of a Standardized Intrahospital Patient Transfer Checklist for Intensive Care Unit Nurses: A Methodological Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  4. Review
  5. Article
  6. Portable Bedside Low-Field MRI for Assessment of Ventricular Size.AJNR. American journal of neuroradiology · 2025
    Article
  7. Article
  8. Observational
  9. Observational
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Intrahospital Transport of Critically Ill Patients: Safety First.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  20. Adverse Events during Intrahospital Transport of Critically Ill Patients: A Multicenter, Prospective, Observational Study (I-TOUCH Study).Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Liu JiaDepartment of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. jialiu179@163.com.
Hongliang WangDepartment of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. icuwanghongliang@163.com.
Yang GaoDepartment of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. gaoyang0312@126.com.
Haitao LiuDepartment of Critical Care Medicine, the Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. dr633@foxmail.com.
Kaijiang YuDepartment of Critical Care Medicine, the Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. icuyukaijiang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to investigate the incidence of adverse events (AEs) during intra-hospital transport (IHT) of critically ill patients and evaluate the risk factors associated with these events.

methodsThis prospective multicenter observational study was performed in 34 intensive care units in China during 20 consecutive days from 5 November to 25 November 2012. All consecutive patients who required IHT for diagnostic testing or therapeutic procedures during the study period were included. All AEs that occurred during IHT were recorded. The incidence of AEs was defined as the rate of transports with at least one AE. The statistical analysis included a description of demographic and clinical characteristics of the cohort as well as identification of risk factors for AEs during IHT by univariate and multivariate logistic regression analyses.

resultsIn total, 441 IHTs of 369 critically ill patients were analyzed. The overall incidence of AEs was 79.8% (352 IHTs). The proportion of equipment- and staff-related adverse events was 7.9% (35 IHTs). The rate of patient-related adverse events (P-AEs) was 79.4% (349 IHTs). The rates of vital sign-related P-AEs and arterial blood gas analysis-related P-AEs were 57.1% (252 IHTs) and 46.9% (207 IHTs), respectively. The incidence of critical P-AEs was 33.1% (146 IHTs). The rates of vital sign-related critical P-AEs and arterial blood gas analysis-related critical P-AEs were 22.9% (101 IHTs) and 15.0% (66 IHTs), respectively. All data collected in our study were considered potential risk factors. In the multivariate analysis, predictive factors for P-AEs were pH, partial pressure of carbon dioxide in arterial blood, lactate level, glucose level, and heart rate before IHT. Furthermore, the Acute Physiology and Chronic Health Evaluation II score, partial pressure of oxygen in arterial blood, lactate level, glucose level, heart rate, respiratory rate, pulse oximetry, and sedation before transport were independent influential factors for critical P-AEs during IHT.

conclusionsThe incidence of P-AEs during IHT of critically ill patients was high. Risk factors for P-AEs during IHT were identified. Strategies are needed to reduce their frequency.

trial registrationChinese Clinical Trial Register identifier ChiCTR-OCS-12002661. Registered 5 November 2012.

Indexed as

AgedChinaCritical CareCritical IllnessFemaleHospitalsHumansIncidenceIntensive Care UnitsMaleMiddle AgedPatient TransferProspective StudiesRisk Factors

Identifiers

PMID26781179
PMCPMC4717618

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.