Trial reportScientific reports2019
The impact of patient sex on intensive care unit admission: a blinded randomized survey.
Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Age-related sex differences in intensive care treatment and outcomes: a nationwide cohort study.British journal of anaesthesia · 2026Article
- Sex matters: Is it time for a SOFA makeover?Critical care (London, England) · 2024Article
- E-contact facilitated by conversational agents reduces interethnic prejudice and anxiety in Afghanistan.Communications psychology · 2024Article
- Sex-Related Differences in Acuity and Postoperative Complications, Mortality and Failure to Rescue.The Journal of surgical research · 2023Article
- Female Patients with Pneumonia on Intensive Care Unit Are under Risk of Fatal Outcome.Medicina (Kaunas, Lithuania) · 2022Observational
- A cohort study investigating the occurrence of differences in care provided to men and women in an intensive care unit.Scientific reports · 2021Article
- Sex Differences in Clinical Course and Intensive Care Unit Admission in a National Cohort of Hospitalized Patients with COVID-19.Journal of clinical medicine · 2021Article
- Gender differences in the provision of intensive care: a Bayesian approach.Intensive care medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gender distribution in intensive care units is consistently found to be around 60% men and 40% women. This might be medically sound. Our main purpose with this study was to investigate if physicians admit men and women to the intensive care unit equally. We sought to answer this question using a blinded randomized survey study. We used an online survey tool, with a hyperlink on European society of intensive care medicine webpage. Responders were randomized to either a critical care case Jane or a critical care case John, otherwise identical. The responders were asked if they would admit Jane/John to an intensive care unit, yes or no. Possible differences in admittance rate on the basis of the gender of the patient were analysed. In addition, we analysed if the gender of the responder affected admittance rate, regardless of the gender of the patient. 70.1% of the responders randomized to the John case opted to admit, vs. 68.3% of the responders randomized to the Jane case, p = 0.341. Regardless the gender of the patient, 70.1% of male responders opted to admit the patient, vs. 69.7% of female responders, p = 0.886. In this blinded randomized multicentre survey study, we could not demonstrate any difference in willingness to admit a patient to ICU, solely based on the gender of the patient. Patient gender as a factor for ICU admittance. A blinded randomized survey.
Indexed as
Identifiers
What OpenQuestion holds
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.