Evidence map›Paper›PMID 27873292›Full record

ArticleAnnals of intensive care2016

ICU management based on PiCCO parameters reduces duration of mechanical ventilation and ICU length of stay in patients with severe thoracic trauma and acute respiratory distress syndrome.

Zhong Yuanbo, Wang Jin, Shi Fei, Long Liangong, Liu Xunfa, Xu Shihai, Shan Aijun

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Hemodynamic Monitoring Options in COVID-19.Journal of cardiothoracic and vascular anesthesia · 2020
    Article
  9. Observational
  10. 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

7 authors at 1 institution in 1 country.

Zhong YuanboEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China.
Wang JinEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China.
Shi FeiEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China.
Long LiangongEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China.
Liu XunfaEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China.
Xu ShihaiEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China.
Shan AijunEmergency Center, Shenzhen People's Hospital, Shenzhen, 518020, China. shan928doctor@sina.com.
ShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess whether a management algorithm using data obtained with a PiCCO system can improve clinical outcomes in critically ill patients with acute respiratory distress syndrome (ARDS).

resultsThe PaO

conclusionsThis study investigated the usefulness of the PiCCO system in improving outcomes for patient with severe thoracic trauma and ARDS and provided new evidence for fluid management in critical care settings.

Indexed as

Acute respiratory distress syndromeICU stayPaO2/FiO2PiCCOThoracic trauma

Identifiers

PMID27873292
PMCPMC5118373
OpenAlexW2552675202

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.