Evidence map›Paper›PMID 27756794›Full record

SynthesisCirculation. Cardiovascular quality and outcomes2016

Identifying Important Gaps in Randomized Controlled Trials of Adult Cardiac Arrest Treatments: A Systematic Review of the Published Literature.

Shashank S Sinha, Devraj Sukul, John J Lazarus, Vivek Polavarapu, Paul S Chan, Robert W Neumar, Brahmajee K Nallamothu

Registry-linked trialOpen access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Circulation. Cardiovascular quality and outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05520762 (Hospital Airway Resuscitation Trial), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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.

NCT05520762 narecruitingnot on this mapstarted 2023, after this paper: background citation

Hospital Airway Resuscitation Trial: A Cluster-Randomized, Pragmatic Trial

TypeinterventionalSponsorMontefiore Medical CenterRan2023 to 2027Enrolled1,060ConditionsCardiac Arrest, Respiratory FailureArmsA strategy of first choice supraglottic airway, A strategy of first choice endotracheal intubation
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Evaluating the current breadth of randomized control trials on cardiac arrest: A scoping review.Journal of the American College of Emergency Physicians open · 2024
    Article
  13. Article
  14. The times are changing: A primer on novel clinical trial designs and endpoints in critical care research.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Observational
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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 2 institutions in 1 country.

Shashank S SinhaFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.). sssinha@med.umich.edu.
Devraj SukulFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.).
John J LazarusFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.).
Vivek PolavarapuFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.).
Paul S ChanFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.).
Robert W NeumarFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.).
Brahmajee K NallamothuFrom the Department of Internal Medicine, Division of Cardiovascular Medicine, Samuel and Jean Frankel Cardiovascular Center (S.S.S., D.S., J.J.L., V.P., B.K.N.) and Department of Emergency Medicine (R.W.N.), Institute for Healthcare Policy and Innovation (S.S.S., D.S., B.K.N.), Michigan Center for Health Analytics and Medical Prediction (S.S.S., D.S., B.K.N.), and Michigan Center for Integrative Research in Critical Care (S.S.S., R.W.N., B.K.N.), University of Michigan, Ann Arbor; Saint Luke's Mid America Heart Institute, University of Missouri, Kansas City (P.S.C.); and VA Health Services Research and Development Center of Innovation, VA Ann Arbor Healthcare System, MI (B.K.N.).
Saint Luke's Hospital · USUniversity of Missouri–Kansas City · US

Funding

TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
Reperfusion Injury Protection Strategies During Basic Life SupportR01HL123227 · NHLBI · UNIVERSITY OF MINNESOTA · PI YANNOPOULOS, DEMETRIS · 2013 to 2017
$5.1M
Simple Automatic Perfusion System for salvage after cardiac arrestR44HL091606 · NHLBI · MC3, INC. · PI MAZUR, DANIEL EDWARD, NEUMAR, ROBERT W. · 2009 to 2018
$3.7M
Hospital Enhancement of Resuscitation Outcomes for In-Hospital Cardiac Arrest (HER01HL123980 · NHLBI · SAINT LUKE'S HOSPITAL · PI CHAN, PAUL SHEUNG-YAN, NALLAMOTHU, BRAHMAJEE K · 2014 to 2018
$2.7M
Extracorporeal CPR for Refractory Out-of-Hospital Cardiac Arrest (EROCA) Trial Planning GrantR34HL130738 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARTLETT, ROBERT H., NEUMAR, ROBERT W. · 2016 to 2017
$698k
Optimizing therapeutic hypothermia after cardiac arrestR21NS054654 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI NEUMAR, ROBERT W. · 2007 to 2008
$371k
REcovery after in hoSpital Cardiac arrest: late outcomes and Utilization_ResCUI01HX001276 · VA · VETERANS HEALTH ADMINISTRATION · PI IWASHYNA, THEODORE J, NALLAMOTHU, BRAHMAJEE K · 2014 to 2014
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HSRD VA I01 HX001276NHLBI NIH HHS R01 HL123227NHLBI NIH HHS R01 HL123980NHLBI NIH HHS R34 HL130738NHLBI NIH HHS R44 HL091606NHLBI NIH HHS T32 HL007853NINDS NIH HHS R21 NS054654
6 · The paper itself

Abstract

backgroundCardiac arrest is a major public health concern worldwide. The extent and types of randomized controlled trials (RCT)-our most reliable source of clinical evidence-conducted in these high-risk patients over recent years are largely unknown. METHODS AND

resultsWe performed a systematic review, identifying all RCTs published in PubMed, EMBASE, Scopus, Web of Science, and the Cochrane Library from 1995 to 2014 that focused on the acute treatment of nontraumatic cardiac arrest in adults. We then extracted data on the setting of study populations, types and timing of interventions studied, risk of bias, outcomes reported, and how these factors have changed over time. Over this 20-year period, 92 RCTs were published containing 64 309 patients (median, 225.5 per trial). Of these, 81 RCTs (88.0%) involved out-of-hospital cardiac arrest, whereas 4 (4.3%) involved in-hospital cardiac arrest and 7 (7.6%) included both. Eighteen RCTs (19.6%) were performed in the United States, 68 (73.9%) were performed outside the United States, and 6 (6.5%) were performed in both settings. Thirty-eight RCTs (41.3%) evaluated drug therapy, 39 (42.4%) evaluated device therapy, and 15 (16.3%) evaluated protocol improvements. Seventy-four RCTs (80.4%) examined interventions during the cardiac arrest, 15 (16.3%) examined post cardiac arrest treatment, and 3 (3.3%) studied both. Overall, reporting of the risk of bias was limited. The most common outcome reported was return of spontaneous circulation: 86 (93.5%) with only 22 (23.9%) reporting survival beyond 6 months. Fifty-three RCTs (57.6%) reported global ordinal outcomes, whereas 15 (16.3%) reported quality-of-life. RCTs in the past 5 years were more likely to be focused on protocol improvements and postcardiac arrest care.

conclusionsImportant gaps in RCTs of cardiac arrest treatments exist, especially those examining in-hospital cardiac arrest, protocol improvement, postcardiac arrest care, and long-term or quality-of-life outcomes.

Indexed as

Evidence-Based MedicineProfessional Practice GapsRandomized Controlled Trials as TopicAgedCardiopulmonary ResuscitationDeath, Sudden, CardiacFemaleHealth Services ResearchHeart ArrestHumansMaleMiddle AgedQuality of LifeRisk AssessmentRisk FactorsTime Factorscardiopulmonary resuscitationhealth services researchheart arrestrandomized controlled trialresuscitation

Identifiers

PMID27756794
PMCPMC5339040
OpenAlexW2554794172

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.