Evidence map›Paper›PMID 25738857›Full record

ArticleCritical care medicine2015

Estimating dead-space fraction for secondary analyses of acute respiratory distress syndrome clinical trials.

Jeremy R Beitler, B Taylor Thompson, Michael A Matthay, Daniel Talmor, Kathleen D Liu, Hanjing Zhuo, Douglas Hayden, Roger G Spragg, Atul Malhotra

Abstract read
In one paragraph

Article in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Dead space in critical care: a practical approach with clinical scenarios.Journal of anesthesia, analgesia and critical care · 2026
    Review
  3. Article
  4. Observational
  5. Article
  6. Observational
  7. Gas volume corrections in intensive care unit: needed or pointless?Journal of applied physiology (Bethesda, Md. : 1985) · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Early experience with critically ill patients with COVID-19 in Montreal.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2021
    Article
  18. Article
  19. Article
  20. 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

9 authors.

Jeremy R Beitler1Division of Pulmonary and Critical Care Medicine, University of California, San Diego, San Diego, CA. 2Pulmonary and Critical Care Unit, Massachusetts General Hospital, Boston, MA. 3Departments of Anesthesia and Medicine, University of California, San Francisco, San Francisco, CA. 4The Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA. 5Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA. 6Division of Nephrology, University of California, San Francisco, San Francisco, CA. 7Division of Critical Care Medicine, University of California, San Francisco, San Francisco, CA. 8Biostatistics Center, Massachusetts General Hospital, Boston, MA.
B Taylor Thompson
Michael A Matthay
Daniel Talmor
Kathleen D Liu
Hanjing Zhuo
Douglas Hayden
Roger G Spragg
Atul Malhotra

Funding

RESPIRATORY RESEARCHT32HL007633 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI George R Washko · 1985 to 2026
$14.9M
Therapy for Clinical Acute Lung Injury with APCP50HL074005 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHAY, MICHAEL A. · 2003 to 2007
$9.6M
Sub Project 2UM1HL108724 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LORING, STEPHEN H, TALMOR, DANIEL STUART · 2012 to 2014
$4.6M
Resolution of Clinical Lung InjuryR37HL051856 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHAY, MICHAEL A. · 2006 to 2015
$3.9M
Single Motor Unit Genioglossus Recordings to Understand Sleep Apnea PathogenesisR01HL085188 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2008 to 2018
$3.5M
RESOLUTION OF CLINICAL LUNG INJURYR01HL051856 · NHLBI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI MATTHAY, MICHAEL A. · 1996 to 2005
$1.7M
Assessment of Upper Airway Mechanics Using Newer EMG TechniquesK24HL093218 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2009 to 2013
$857k
Clin Coord Ctr for Clin Ntwrk Treatment of ARDS-268056179-268056179N01HR056179 · HR · MASSACHUSETTS GENERAL HOSPITAL · PI SCHOENFELD, DAVID · 2005 to 2006
–
NHLBI NIH HHS HL-74005NHLBI NIH HHS K24 HL093218NHLBI NIH HHS K24-HL093218NHLBI NIH HHS L30 HL129438NHLBI NIH HHS N01 HR056179NHLBI NIH HHS N01-HR56179NHLBI NIH HHS P50 HL074005NHLBI NIH HHS R01 HL051856NHLBI NIH HHS R01 HL085188NHLBI NIH HHS R37 HL051856NHLBI NIH HHS R37-HL51856NHLBI NIH HHS T32 HL007633NHLBI NIH HHS T32-HL007633NHLBI NIH HHS UM1 HL108724NHLBI NIH HHS UM1-HL108724PHS HHS HHSN268200536179C
6 · The paper itself

Abstract

objectivesPulmonary dead-space fraction is one of few lung-specific independent predictors of mortality from acute respiratory distress syndrome. However, it is not measured routinely in clinical trials and thus altogether ignored in secondary analyses that shape future research directions and clinical practice. This study sought to validate an estimate of dead-space fraction for use in secondary analyses of clinical trials.

designAnalysis of patient-level data pooled from acute respiratory distress syndrome clinical trials. Four approaches to estimate dead-space fraction were evaluated: three required estimating metabolic rate; one estimated dead-space fraction directly.

settingU.S. academic teaching hospitals. PATIENTS: Data from 210 patients across three clinical trials were used to compare performance of estimating equations with measured dead-space fraction. A second cohort of 3,135 patients from six clinical trials without measured dead-space fraction was used to confirm whether estimates independently predicted mortality.

interventionsNone. MEASUREMENTS AND MAIN

resultsDead-space fraction estimated using the unadjusted Harris-Benedict equation for energy expenditure was unbiased (mean ± SD Harris-Benedict, 0.59 ± 0.13; measured, 0.60 ± 0.12). This estimate predicted measured dead-space fraction to within ±0.10 in 70% of patients and ±0.20 in 95% of patients. Measured dead-space fraction independently predicted mortality (odds ratio, 1.36 per 0.05 increase in dead-space fraction; 95% CI, 1.10-1.68; p < 0.01). The Harris-Benedict estimate closely approximated this association with mortality in the same cohort (odds ratio, 1.55; 95% CI, 1.21-1.98; p < 0.01) and remained independently predictive of death in the larger Acute Respiratory Distress Syndrome Network cohort. Other estimates predicted measured dead-space fraction or its association with mortality less well.

conclusionsDead-space fraction should be measured in future acute respiratory distress syndrome clinical trials to facilitate incorporation into secondary analyses. For analyses where dead-space fraction was not measured, the Harris-Benedict estimate can be used to estimate dead-space fraction and adjust for its association with mortality.

Indexed as

Research DesignRespiratory Dead SpaceAdultAgedAPACHEFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicReproducibility of ResultsRespiratory Distress SyndromeRespiratory Function TestsUnited States

Identifiers

PMID25738857
PMCPMC4400228

What OpenQuestion holds

Textmetadata
LicenceTDM
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.