Evidence map›Paper›PMID 36735931›Full record

Trial reportAnnals of the American Thoracic Society2023

Conditional Treatment Effect Analysis of Two Infusion Rates for Fluid Challenges in Critically Ill Patients: A Secondary Analysis of Balanced Solution versus Saline in Intensive Care Study (BaSICS) Trial.

Fernando G Zampieri, Lucas P Damiani, Sean M Bagshaw, Matthew W Semler, Matthew Churpek, Luciano C P Azevedo, Rodrigo C Figueiredo, Viviane C Veiga, Rodrigo Biondi, Flavio R Freitas and 3 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Annals of the American Thoracic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.7field-weighted citation impact, top 4% 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, 22 citations in OpenAlex.

  1. Trial
  2. Trial
  3. What place for pragmatic RCTs in intensive care?Critical care (London, England) · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Oxygen Targets and the Future of Critical Care Clinical Research.American journal of respiratory and critical care medicine · 2023
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 3 countries.

Fernando G ZampieriHospital do Coracao (HCor)-Research Institute, São Paulo, Brazil.ORCID 0000-0001-9315-6386
Lucas P DamianiHospital do Coracao (HCor)-Research Institute, São Paulo, Brazil.
Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Matthew W SemlerDivision of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-7664-8263
Matthew ChurpekDivision of Allergy, Pulmonary, and Critical Care, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin.
Luciano C P AzevedoHospital Sírio-Libanês, São Paulo, Brazil.
Rodrigo C FigueiredoHospital Maternidade São José, Centro Universitário do Espírito Santo, Colatina, Brazil.
Viviane C VeigaBP - A Beneficência Portuguesa de São Paulo, São Paulo, Brazil.
Rodrigo BiondiInstituto de Cardiologia do Distrito Federal, Brasília, Brazil.
Flavio R FreitasHospital Sepaco, São Paulo, Brazil; and.
Flavia R MachadoDepartment of Anesthesiology, Pain and Intensive Care, Universidade Federal de São Paulo, São Paulo, Brazil.
Alexandre B CavalcantiHospital do Coracao (HCor)-Research Institute, São Paulo, Brazil.
BRICNet
Alberta Health Services · CAHospital do Coração · BRBeneficência Portuguesa de São Paulo · BRCentro Universitário do Espírito Santo · BRHospital Sepaco · BRHospital Sírio-Libanês · BRInstituto de Cardiologia do Distrito Federal · BRUniversidade Federal de São Paulo · BRUniversity of Wisconsin–Madison · USVanderbilt University Medical Center · US

Funding

Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney InjuryR01DK126933 · NIDDK · UNIVERSITY OF CHICAGO · PI CHURPEK, MATTHEW MICHAEL, KOYNER, JAY L · 2021 to 2025
$3.4M
Using causal machine learning for personalized treatment recommendations in critically ill patientsR01HL157262 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Matthew Michael Churpek · 2021 to 2026
$3.1M
Sepsis Early Prediction and Subphenotype Illumination Study (SEPSIS)R01GM123193 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI CHURPEK, MATTHEW MICHAEL · 2017 to 2021
$1.9M
Oxygen Saturation Targets during Mechanical Ventilation of Critically Ill Adults: A Clinical TrialK23HL143053 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SEMLER, MATTHEW WALL · 2018 to 2022
$854k
NHLBI NIH HHS K23 HL143053NHLBI NIH HHS R01 HL157262NIDDK NIH HHS R01 DK126933NIGMS NIH HHS R01 GM123193
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Critical CareCritical IllnessBayes TheoremFluid TherapyHumansResearch Designbalanced solutionscritical carepersonalized medicine

Identifiers

PMID36735931
PMCPMC10257031
OpenAlexW4319068084

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.