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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,877 datasets
A 2026 cross-sectional survey of 211 nurses and nurse managers from an acute care hospital in German-speaking Switzerland. The dataset, authored by Christoph Golz, includes responses to the PERMA-Lead Profiler and Copenhagen Psychosocial Questionnaire scales, measuring leadership perceptions, job satisfaction, burnout symptoms, and intention to leave the profession.
A dataset of 168 adolescents with anterior knee pain, containing 13 patellofemoral morphometric parameters measured from knee MRI scans. The data was collected in a retrospective single-center pilot study between January 2018 and December 2024 by author Dusan Spasic. It was used to model three binary MRI endpoints and compare logistic regression with machine-learning approaches.
A 47% increased risk of cardiovascular disease was found in participants with kidney stones compared to those without. This dataset, derived from 34,770 participants in the NHANES 2007–2018 cycles, was used to develop and validate an interpretable machine learning model for identifying CVD in kidney stone patients. The model development and validation involved 1,491 participants from 2007–2016 and an independent temporal cohort of 296 participants from 2017–2018.
A clinical registry dataset of 594 patients with acute ischemic stroke from isolated M2 occlusion. The data includes 100 propensity score-matched pairs comparing endovascular therapy to best medical management, with outcomes measured at discharge and 3 months. The dataset was created by figshare admin karger and last updated in May 2026.
A 2026 meta-analysis by Ziqian Zhao synthesizes data from 56 studies involving 16,539 breast cancer patients. The study examines the association between pretreatment neutrophil-to-lymphocyte ratio (NLR) and survival outcomes following neoadjuvant chemotherapy. It reports pooled hazard ratios for overall, disease-free, and recurrence-free survival, as well as odds ratios for pathologic complete response.
Fifty-six studies with 16,539 patients were synthesized to evaluate a blood-based biomarker. The analysis found elevated pretreatment NLR was significantly associated with worse survival outcomes and lower rates of pathological complete response. This systematic review and meta-analysis was authored by Ziqian Zhao and uploaded to figshare in May 2026.
A systematic review and meta-analysis of 56 studies involving 16,539 breast cancer patients. The study synthesized pooled hazard ratios and odds ratios to examine the relationship between pretreatment neutrophil-to-lymphocyte ratio (NLR) and survival outcomes or treatment response. The dataset was published by Ziqian Zhao on figshare in May 2026.
Fifty-six studies involving 16,539 patients were synthesized to examine the prognostic value of the pretreatment neutrophil-to-lymphocyte ratio (NLR) in breast cancer. The meta-analysis, authored by Ziqian Zhao and published on figshare in May 2026, found elevated NLR was significantly associated with worse survival outcomes and lower rates of pathologic complete response. The dataset is a 20.6 KB document containing the aggregated statistical results from this systematic review.
Fifty-six studies involving 16,539 patients were synthesized to evaluate a blood-based biomarker. This dataset contains the meta-analysis results showing elevated pretreatment neutrophil-to-lymphocyte ratio is associated with worse survival outcomes and lower treatment response rates. The analysis was conducted by Ziqian Zhao and published on figshare in May 2026.
A 2026 meta-analysis by Ziqian Zhao synthesizing 56 studies published up to April 2026. The dataset includes pooled hazard ratios and odds ratios from 16,539 breast cancer patients to assess the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) for survival and treatment response.
A systematic review and meta-analysis of 56 studies involving 16,539 breast cancer patients treated with neoadjuvant chemotherapy. The study, authored by Ziqian Zhao and published on figshare in May 2026, synthesized pooled hazard ratios and odds ratios to evaluate the prognostic value of the neutrophil-to-lymphocyte ratio for survival outcomes and treatment response.
Ziqian Zhao's meta-analysis, published on figshare in 2026, synthesizes data from 56 studies involving 16,539 breast cancer patients. The dataset contains pooled hazard ratios and odds ratios evaluating the association between pretreatment neutrophil-to-lymphocyte ratio (NLR) and survival outcomes or treatment response to neoadjuvant chemotherapy. The analysis was conducted using Stata 18.0 and Review Manager 5.4.
Fifty-six studies involving 16,539 patients were synthesized to evaluate a blood-based biomarker. The analysis found elevated pretreatment neutrophil-to-lymphocyte ratio was significantly associated with worse survival outcomes and lower rates of pathologic complete response. Ziqian Zhao published this systematic review and meta-analysis on figshare in May 2026.
Fifty-six studies involving 16,539 patients were included in this systematic review and meta-analysis. It synthesizes pooled hazard ratios and odds ratios to examine the association between pretreatment neutrophil-to-lymphocyte ratio (NLR) and survival outcomes in breast cancer patients treated with neoadjuvant chemotherapy. The dataset, authored by Ziqian Zhao and last updated in May 2026, is available as a DOCX document under a CC-BY-4.0 license.
A dual-center retrospective cohort study of 924 preeclamptic patients from two tertiary hospitals. The dataset was used to evaluate the incremental prognostic value of the fibrinogen-to-albumin ratio for a composite adverse perinatal outcome. The study was authored by Xiaoyun Chen and last updated on 2026-05-29.
A dual-center retrospective cohort study of 924 preeclamptic patients evaluated the incremental prognostic value of the fibrinogen-to-albumin ratio (FAR). The extended model incorporating FAR achieved an area under the curve (AUC) of 0.888 in the training cohort and 0.856 in external validation. Author Xiaoyun Chen published the study on figshare under a CC-BY-4.0 license in May 2026.
A dual-center retrospective cohort study of 924 preeclamptic patients from two tertiary referral hospitals. The dataset supports the evaluation of the fibrinogen-to-albumin ratio (FAR) as an incremental prognostic marker for a composite adverse perinatal outcome. The study includes training, internal validation, and independent external validation cohorts, with model performance assessed using AUC, NRI, and IDI metrics.
330 patient records with surgical-pathological confirmation were collected from January 2020 to June 2025. Linlin Zhang developed a weighted ensemble machine learning model using multimodal MRI and clinical features to diagnose deep infiltrating endometriosis. The model achieved an AUC of 0.938 on an independent test set and outperformed radiologists' average AUC of 0.818.
A multicenter registry-based study analyzed 183 patients with acute ischemic stroke due to large vessel occlusion and a prestroke modified Rankin Scale score of 3. The research, authored by Sangwon Choi and published in 2026, evaluated the effectiveness and safety of reperfusion therapies, finding endovascular thrombectomy was associated with substantial functional benefit.
Fourteen studies with 1,315 subjects were analyzed to evaluate the diagnostic performance of 18F-FDG PET/CT metabolic parameters for predicting pathological response to neoadjuvant therapy in non-small cell lung cancer. The meta-analysis, authored by Yaoyu Wu and last updated in May 2026, found that ΔSUVmax% achieved an area under the curve of 0.96. The results suggest these metrics could serve as noninvasive tools for response assessment.