Conectar
To characterise sex and gender-based analysis (SGBA) and diversity metric reporting, representation of female/women participants in acute care trials and temporal changes in reporting before and after publication of the 2016 Sex and Gender Equity in Research guideline.
Systematic review.
We searched MEDLINE for trials published in five leading medical journals in 2014, 2018 and 2020.
Trials that enrolled acutely ill adults, compared two or more interventions and reported at least one clinical outcome.
4 reviewers screened citations and 22 reviewers abstracted data, in duplicate. We compared reporting differences between intensive care unit (ICU) and cardiology trials.
We included 88 trials (75 (85.2%) ICU and 13 (14.8%) cardiology) (n=111 428; 38 140 (34.2%) females/women). Of 23 (26.1%) trials that reported an SGBA, most used a forest plot (22 (95.7%)), were prespecified (21 (91.3%)) and reported a sex-by-intervention interaction with a significance test (19 (82.6%)). Discordant sex and gender terminology were found between headings and subheadings within baseline characteristics tables (17/32 (53.1%)) and between baseline characteristics tables and SGBA (4/23 (17.4%)). Only 25 acute care trials (28.4%) reported race or ethnicity. Participants were predominantly white (78.8%) and male/men (65.8%). No trial reported gendered-social factors. SGBA reporting and female/women representation did not improve temporally. Compared with ICU trials, cardiology trials reported significantly more SGBA (15/75 (20%) vs 8/13 (61.5%) p=0.005).
Acute care trials in leading medical journals infrequently included SGBA, female/women and non-white trial participants, reported race or ethnicity and never reported gender-related factors. Substantial opportunity exists to improve SGBA and diversity metric reporting and recruitment of female/women participants in acute care trials.
CRD42022282565.
by Levi Matthies, Hendrik Amir-Kabirian, Medhanie T. Gebrekidan, Andreas S. Braeuer, Ulrike S. Speth, Ralf Smeets, Christian Hagel, Martin Gosau, Christian Knipfer, Reinhard E. Friedrich
In Neurofibromatosis type 1 (NF1), peripheral nerve sheaths tumors are common, with cutaneous neurofibromas resulting in significant aesthetic, painful and functional problems requiring surgical removal. To date, determination of adequate surgical resection margins–complete tumor removal while attempting to preserve viable tissue–remains largely subjective. Thus, residual tumor extension beyond surgical margins or recurrence of the disease may frequently be observed. Here, we introduce Shifted-Excitation Raman Spectroscopy in combination with deep neural networks for the future perspective of objective, real-time diagnosis, and guided surgical ablation. The obtained results are validated through established histological methods. In this study, we evaluated the discrimination between cutaneous neurofibroma (n = 9) and adjacent physiological tissues (n = 25) in 34 surgical pathological specimens ex vivo at a total of 82 distinct measurement loci. Based on a convolutional neural network (U-Net), the mean raw Raman spectra (n = 8,200) were processed and refined, and afterwards the spectral peaks were assigned to their respective molecular origin. Principal component and linear discriminant analysis was used to discriminate cutaneous neurofibromas from physiological tissues with a sensitivity of 100%, specificity of 97.3%, and overall classification accuracy of 97.6%. The results enable the presented optical, non-invasive technique in combination with artificial intelligence as a promising candidate to ameliorate both, diagnosis and treatment of patients affected by cutaneous neurofibroma and NF1.Perforated peptic ulcers are a life-threatening complication associated with high morbidity and mortality. Several treatment approaches are available. The aim of this network meta-analysis (NMA) is to compare surgical and alternative approaches for the treatment of perforated peptic ulcers regarding mortality and other patient-relevant outcomes.
A systematic literature search of PubMed/MEDLINE, Cochrane Library, Embase, CINAHL, ClinicalTrials.gov trial registry and ICTRP will be conducted with predefined search terms.
To address the question of the most effective treatment approach, an NMA will be performed for each of the outcomes mentioned above. A closed network of interventions is expected. The standardised mean difference with its 95% CI will be used as the effect measure for the continuous outcomes, and the ORs with 95% CI will be calculated for the binary outcomes.
In accordance with the nature of the data used in this meta-analysis, which involves aggregate information from previously published studies ethical approval is deemed unnecessary. Results will be disseminated directly to decision-makers (eg, surgeons, gastroenterologists) through publication in peer-reviewed journals and presentation at conferences.
CRD42023482932.
FreshRSS 