Evidence map›Paper›PMID 37818219›Full record

ArticleFrontiers in neurology2023

Epidemiology and outcome predictors in 450 patients with hanging-induced cardiac arrest: a retrospective study.

Marie Salvetti, Guillaume Schnell, Nicolas Pichon, Maleka Schenck, Pierrick Cronier, Sebastien Perbet, Jean-Baptiste Lascarrou, Christophe Guitton, Olivier Lesieur, Laurent Argaud and 26 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

36 authors at 20 institutions in 2 countries.

Marie SalvettiMedical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay, France.
Guillaume SchnellMedical-Surgical Intensive Care Unit, GH Le Havre, Le Havre, France.
Nicolas PichonMedical-Surgical Intensive Care Unit, CHU de Limoges, Limoges, France.
Maleka SchenckMédecine Intensive Réanimation, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Pierrick CronierAfterROSC, Paris, France.
Sebastien PerbetDepartment of Perioperative Medicine, University Hospital of Clermont-Ferrand, 58 Rue Montalembert, Université Clermont Auvergne, CNRS, INSERM, GReD, Clermont-Ferrand, France.
Jean-Baptiste LascarrouAfterROSC, Paris, France.
Christophe GuittonMedical-Surgical Intensive Care Unit, Centre Hospitalier du Mans, Le Mans, France.
Olivier LesieurAfterROSC, Paris, France.
Laurent ArgaudAfterROSC, Paris, France.
Gwenhael ColinAfterROSC, Paris, France.
Bernard CholleyHôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris Cité et Service d'Anesthésie-Réanimation Médecine Péri Opératoire, Paris, France.
Jean-Pierre QuenotService de Médecine Intensive-Réanimation, CHU Dijon Bourgogne, Dijon, France.
Hamid MerdjiFaculté de Médecine, Hôpitaux Universitaires de Strasbourg, Nouvel Hôpital Civil, Service de Médecine Intensive Réanimation, Université de Strasbourg (UNISTRA), Strasbourg, France.
Thomas GeeraertsDepartment of Anaesthesiology, Critical Care and Perioperative Medicine, Toulouse University Hospital, Toulouse, France.
Michael PiagnerelliIntensive Care Unit, Marie-Curie Teaching Hospital, Université Libre de Bruxelles, Charleroi, Belgium.
Gwenaelle JacqMedical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay, France.
Marine PaulMedical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay, France.
Jonathan ChellyAfterROSC, Paris, France.
Louise de CharentenayMedical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay, France.
Nicolas DeyeAfterROSC, Paris, France.
Marc Danguy des DésertsIntensive Care Unit, Clermont Tonnerre Military Hospital, Brest, France.
Guillaume ThieryMedical-Surgical Intensive Care Unit, Saint-Étienne University Hospital, Saint-Étienne, France.
Marc SimonDepartment of Intensive Care, Cliniques du Sud-Luxembourg of Arlon, Arlon, Belgium.
Vincent DasMedical-Surgical Intensive Care Unit, Centre Hospitalier Intercommunal André Grégoire, Montreuil, France.
Frederic JacobsMedical Intensive Care Unit, Beclère Teaching Hospital, Clamart, France.
Charles CerfDepartment of Intensive Care, Foch Hospital, Suresnes, France.
Julien MayauxDepartment of Pulmonology and Intensive Care, Pitié-Salpêtrière Teaching Hospital, Paris, France.
Pascal BeuretDepartment of Intensive and Continuous Care, Roanne Hospital, Roanne, France.
Abdelkader OuchenirMedical Intensive Care Unit, Louis Pasteur Hospital, Chartres, France.
Antoine LafargeMedical Intensive Care Unit, Saint Louis Teaching Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Bertrand SauneufAfterROSC, Paris, France.
Cedric DaubinAfterROSC, Paris, France.
Alain CariouAfterROSC, Paris, France.
Stein SilvaAfterROSC, Paris, France.
Stephane LegrielMedical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles-Site André Mignot, Le Chesnay, France.
Centre Hospitalier de Versailles · FRAssistance Publique – Hôpitaux de Paris · FRCentre de recherche en Epidémiologie et Santé des Populations · FRCentre Hospitalier de La Rochelle · FRCentre Hospitalier Départemental Vendée · FRCentre Hospitalier du Mans · FRCentre Hospitalier Intercommunal André Grégoire Montreuil · FRCentre Hospitalier Public du Cotentin · FRCentre Hospitalier Sud Francilien · FRCentre Hospitalier Universitaire de Limoges · FRCentre Hospitalier Universitaire de Saint-Étienne · FRCentre Hospitalier Universitaire Dijon Bourgogne · FRCliniques du Sud Luxembourg · BEGroupe Hospitalier du Havre · FRHôpital Antoine-Béclère · FRHôpital d'Instruction des Armées Clermont-Tonnerre · FRHôpital Foch · FRHôpital Lariboisière · FRHôpital Purpan · FRHôpital Saint-Louis · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac arrest is the most life-threatening complication of attempted suicide by hanging. However, data are scarce on its characteristics and outcome predictors. Methods: This retrospective observational multicentre study in 31 hospitals included consecutive adults admitted after cardiac arrest induced by suicidal hanging. Factors associated with in-hospital mortality were identified by multivariate logistic regression with multiple imputations for missing data and adjusted to the temporal trends over the study period. Results: Of 450 patients (350 men, median age, 43 [34-52] years), 305 (68%) had a psychiatric history, and 31 (6.9%) attempted hanging while hospitalized. The median time from unhanging to cardiopulmonary resuscitation was 0 [0-5] min, and the median time to return of spontaneous circulation (ROSC) was 20 [10-30] min. Seventy-nine (18%) patients survived to hospital discharge. Three variables were independently associated with higher in-hospital mortality: time from collapse or unhanging to ROSC>20 min (odds ratio [OR], 4.71; 95% confidence intervals [95%CIs], 2.02-10.96; Conclusion: In patients with hanging-induced cardiac arrest, time from collapse or unhanging to return of spontaneous circulation, glycaemia, arterial lactate, and coma depth at admission were independently associated with survival to hospital discharge. Knowledge of these risk factors may help guide treatment decisions in these patients at high risk of hospital mortality.

Indexed as

cardiopulmonary resuscitationcoma/therapyintensive care unitnear-hangingoutcome

Identifiers

PMID37818219
PMCPMC10560712
OpenAlexW4387004330

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.