Evidence map›Paper›PMID 28984705›Full record

ReviewCurrent opinion in critical care2017

The crashing patient: hemodynamic collapse.

Hitesh Gidwani, Hernando Gómez

Abstract readReview
In one paragraph

Review in Current opinion in critical care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. [Hypovolemic and hemorrhagic shock].Der Anaesthesist · 2018
    Review
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

2 authors.

Hitesh GidwaniaDepartment of Critical Care Medicine bCenter for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Hernando Gómez

Funding

The role of energy regulation in the epithelial cell response to sepsis and the origin of multiple organ dysfuntionK08GM117310 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GOMEZ DANIES, HERNANDO · 2016 to 2018
$560k
NIGMS NIH HHS K08 GM117310
6 · The paper itself

Abstract

purpose of reviewRapid restoration of tissue perfusion and oxygenation are the main goals in the resuscitation of a patient with circulatory collapse. This review will focus on providing an evidence based framework of the technological and conceptual advances in the evaluation and management of the patient with cardiovascular collapse. RECENT

findingsThe initial approach to the patient in cardiovascular collapse continues to be based on the Ventilate-Infuse-Pump rule. Point of care ultrasound is the preferred modality for the initial evaluation of undifferentiated shock, providing information to narrow the differential diagnosis, to assess fluid responsiveness and to evaluate the response to therapy. After the initial phase of resuscitative fluid administration, which focuses on re-establishing a mean arterial pressure to 65 mmHg, the use of dynamic parameters to assess preload responsiveness such as the passive leg raise test, stroke volume variation, pulse pressure variation and collapsibility of the inferior vena cava in mechanically ventilated patients is recommended. SUMMARY: The crashing patient remains a clinical challenge. Using an integrated approach with bedside ultrasound, dynamic parameters for the evaluation of fluid responsiveness and surrogates of evaluation of tissue perfusion have made the assessment of the patient in shock faster, safer and more physiologic.

Indexed as

Critical CareBlood Flow VelocityBlood PressureEvidence-Based MedicineFluid TherapyHemodynamicsHumansPoint-of-Care SystemsRegional Blood FlowResuscitationShockStroke VolumeUltrasonography

Identifiers

PMID28984705
PMCPMC5668154

What OpenQuestion holds

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Registered trials

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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.