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Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network
No full textGenetic and Clinical Analyses of DOA and LHON in 304 Chinese Patients with Suspected Childhood-Onset Hereditary Optic Neuropathy
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Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities
No full textPatients with comorbidities do not receive optimal treatment for their cancer, leading to lower cancer survival. Information on individual comorbidities is not straightforward to derive from population-based administrative health datasets. We described the development of a reproducible algorithm to extract the individual Charlson index comorbidities from such data. We illustrated the algorithm with 1,789 laryngeal cancer patients diagnosed in England in 2013. We aimed to clearly set out and advocate the time-related assumptions specified in the algorithm by providing empirical evidence for them.Comorbidities were assessed from hospital records in the ten years preceding cancer diagnosis and internal reliability of the hospital records was checked. Data were right-truncated 6 or 12 months prior to cancer diagnosis to avoid inclusion of potentially cancer-related comorbidities. We tested for collider bias using Cox regression.Our administrative data showed weak to moderate internal reliability to identify comorbidities (ICC ranging between 0.1 and 0.6) but a notably high external validity (86.3%). We showed a reverse protective effect of non-cancer related Chronic Obstructive Pulmonary Disease (COPD) when the effect is split into cancer and non-cancer related COPD (Age-adjusted HR: 0.95, 95% CI:0.7–1.28 for non-cancer related comorbidities). Furthermore, we showed that a window of 6 years before diagnosis is an optimal period for the assessment of comorbidities.To formulate a robust approach for assessing common comorbidities, it is important that assumptions made are explicitly stated and empirically proven. We provide a transparent and consistent approach useful to researchers looking to assess comorbidities for cancer patients using administrative health data
The abundance of the ARL2 GTPase and its GAP, ELMOD2, at mitochondria are modulated by the fusogenic activity of mitofusins and stressors
No full textA meta-analysis of narrow band imaging for the diagnosis and therapeutic outcome of non-muscle invasive bladder cancer
No full textTo assess the additional detection rate (ADR) of within-patient comparisons of Narrow band imaging (NBI) and white light cystoscopy (WLC) for non-muscle invasive bladder cancer (NMIBC) detection and compare the impact of NBI and WLC on bladder cancer recurrence risk., 2016. Pooled ADR, diagnostic accuracy, relative risk (RR) and their 95% confidence intervals (CIs) were calculated.Twenty-five studies including 17 full texts and eight meeting abstracts were included for analysis. Compared to WLC, pooled ADR of NBI for NMIBC diagnosis was 9.9% (95% CI: 0.05–0.14) and 18.6% (95% CI: 0.15–0.25) in per-patient and per-lesion analysis, respectively. Pooled ADR of NBI for carcinoma in situ (CIS) diagnosis was 25.1% (95% CI: 0.09–0.42) and 31.1% (95% CI: 0.24–0.39) for per-patient and per-lesion analyses, respectively. The pooled sensitivity of NBI was significantly higher than WLC both at the per-patient (95.8% vs. 81.6%) and per-lesion levels (94.8% vs. 72.4%). In addition, NBI significantly reduced the recurrence rate of bladder cancer with a pooled RR value of 0.43 (95% CI: 0.23–0.79) and0.81 (95% CI: 0.69–0.95) at month three and twelve, respectively.NBI is a valid technique that improves the diagnosis of NMIBC and CIS compared to standard WLC either at per-patient or per-lesion level. It can reduce the recurrence rate of bladder cancer accordingly
form biofilms and floating communities of cells that display high resistance to environmental insults
No full textBedside or not bedside: Evaluation of patient satisfaction in intensive medical rehabilitation wards
No full textConcerns that bedside presentation (BsP) rounds could make patients uncomfortable led many residency programs to move daily rounds outside the patients’ room (OsPR). We performed a prospective quasi-experimental controlled study measuring the effect of these two approaches on patient satisfaction.Patient satisfaction was measured using the Picker questionnaire (PiQ). Results are expressed in problematic percentage scores scaled from 0 = best-100 = worst. During three months, 3 wards of a 6 ward medical rehabilitation division implemented BsP and 3 control wards kept their usual organization of rounds. In total, 90 patients of each group were included in the study and completed the PiQ.Socio-clinical characteristics were similar in both groups: mean age = 67 years (SD = 13), mean Charlson comorbidity index = 8.6 (2.4); mean length of stay = 22 days (12). During their stay, patients in the BsP units had a mean of 14.3 (8) BsP rounds and 0.5 (0.8) OsPR; control patients had a mean of 0.9 (0.7) BsP and 14.8 (7.3) OsPR (p<0.0001). Patients in BsP units reported lower problematic scores regarding coordination of care (39% vs 45%, p = 0.029), involvement of family/friends (29 vs 41%, p = 0.006) and continuity/transition (44% vs 54%, p = 0.020); two questions of the PiQ had worse scores in the BsP: trust in nurses (46.7% vs 30 %, p = 0.021) and recommendation of the institution (61.1% vs 44.4%. p = 0.025). No worsening in dimensions such as respect for patient preferences was seen.BsP rounds influenced the patient-healthcare professionals’ encounter. These rounds were associated with improved patient satisfaction with care, particularly regarding interprofessional collaboration and discharge planning
