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To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions. The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups. CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters. CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis.

PurposePatients in the intensive care unit (ICU) are often transfused with red blood cells (RBC). During storage, the RBCs and storage medium undergo changes, which may have clinical consequences. Several trials now have assessed these consequences, and we reviewed the present evidence on the effects of shorter versus longer storage time of transfused RBCs on outcomes in ICU patients.MethodsWe conducted a systematic review with meta-analyses and trial sequential analyses (TSA) of randomised clinical trials including adult ICU patients transfused with fresher versus older or standard issue blood.ResultsWe included seven trials with a total of 18,283 randomised ICU patients; two trials of 7504 patients were judged to have low risk of bias. We observed no effects of fresher versus older blood on death (relative risk 1.04, 95% confidence interval (CI) 0.97–1.11; 7349 patients; TSA-adjusted CI 0.93–1.15), adverse events (1.26, 0.76–2.09; 7332 patients; TSA-adjusted CI 0.16–9.87) or post-transfusion infections (1.07, 0.96–1.20; 7332 patients; TSA-adjusted CI 0.90–1.27). The results were unchanged by including trials with high risk of bias. TSA confirmed the results and the required information size was reached for mortality for a relative risk change of 20%.ConclusionsWe may be able to reject a clinically meaningful effect of RBC storage time on mortality in transfused adult ICU patients as our trial sequential analyses reject a 10% relative risk change in death when comparing fresher versus older blood for transfusion.

Intravenous fluids are recommended for the treatment of patients who are in septic shock, but higher fluid volumes have been associated with harm in patients who are in the intensive care unit (ICU). In this international, randomized trial, we assigned patients with septic shock in the ICU who had received at least 1 liter of intravenous fluid to receive restricted intravenous fluid or standard intravenous fluid therapy; patients were included if the onset of shock had been within 12 hours before screening. The primary outcome was death from any cause within 90 days after randomization. We enrolled 1554 patients; 770 were assigned to the restrictive-fluid group and 784 to the standard-fluid group. Primary outcome data were available for 1545 patients (99.4%). In the ICU, the restrictive-fluid group received a median of 1798 ml of intravenous fluid (interquartile range, 500 to 4366); the standard-fluid group received a median of 3811 ml (interquartile range, 1861 to 6762). At 90 days, death had occurred in 323 of 764 patients (42.3%) in the restrictive-fluid group, as compared with 329 of 781 patients (42.1%) in the standard-fluid group (adjusted absolute difference, 0.1 percentage points; 95% confidence interval [CI], -4.7 to 4.9; P = 0.96). In the ICU, serious adverse events occurred at least once in 221 of 751 patients (29.4%) in the restrictive-fluid group and in 238 of 772 patients (30.8%) in the standard-fluid group (adjusted absolute difference, -1.7 percentage points; 99% CI, -7.7 to 4.3). At 90 days after randomization, the numbers of days alive without life support and days alive and out of the hospital were similar in the two groups. Among adult patients with septic shock in the ICU, intravenous fluid restriction did not result in fewer deaths at 90 days than standard intravenous fluid therapy. (Funded by the Novo Nordisk Foundation and others; CLASSIC ClinicalTrials.gov number, NCT03668236.).

In a small fraction of patients with schizophrenia or autism, alleles of copy-number variants (CNVs) in their genomes are probably the strongest factors contributing to the pathogenesis of the disease. These CNVs may provide an entry point for investigations into the mechanisms of brain function and dysfunction alike. They are not fully penetrant and offer an opportunity to study their effects separate from that of manifest disease. Here we show in an Icelandic sample that a few of the CNVs clearly alter fecundity (measured as the number of children by age 45). Furthermore, we use various tests of cognitive function to demonstrate that control subjects carrying the CNVs perform at a level that is between that of schizophrenia patients and population controls. The CNVs do not all affect the same cognitive domains, hence the cognitive deficits that drive or accompany the pathogenesis vary from one CNV to another. Controls carrying the chromosome 15q11.2 deletion between breakpoints 1 and 2 (15q11.2(BP1-BP2) deletion) have a history of dyslexia and dyscalculia, even after adjusting for IQ in the analysis, and the CNV only confers modest effects on other cognitive traits. The 15q11.2(BP1-BP2) deletion affects brain structure in a pattern consistent with both that observed during first-episode psychosis in schizophrenia and that of structural correlates in dyslexia. Rare copy-number variants (CNVs) conferring risk of schizophrenia or autism affect fecundity of carriers in Iceland, and carriers of these CNVs who do not suffer disease or have not been diagnosed with intellectual disability show phenotypes in brain structure and cognitive abilities between those of non-carrier controls and patients with schizophrenia. Genetic variation in autism and schizophrenia Certain rare copy-number variants (CNVs), in which sections of the genome are repeated, have previously been linked to schizophrenia and autism but their carriers do not always suffer either disease or obvious intellectual disability. Kari Stefansson and colleagues studied a group of Icelandic carriers of these variants and show that although disease-free, their brains are subtly different from those of controls that don't carry such mutations. The CNVs do not all affect the same cognitive domains but one in particular, the 15q11.2(BP1-BP2) deletion, affects brain structure in a pattern consistent with both that observed during first-episode psychosis in schizophrenia and that of structural correlates in dyslexia. By studying these carriers more closely it may prove possible to pinpoint more precisely which abnormalities put carriers at risk of developing schizophrenia.

IntroductionSweden, as many other high-income countries, has adopted guidelines to offer induction of labour at 41+0 gestational weeks to decrease the risk for perinatal death. As more than 20% of the pregnant population reach this gestational age, and along with other contributing factors, induction rates have increased up to 30% in many countries. Both women and care providers have raised the question if outpatient induction could be a convenient, safe and economic alternative, reducing the burden on inpatient care in maternity hospitals. Before introducing outpatient induction into clinical routine, studies need to assure safety for the child and woman as well as efficacy of the method.Method and analysisA register-based randomised controlled multicentre non-inferiority trial to study if outpatient induction in low-risk inductions is (1) as safe for the child (perinatal composite of mortality and morbidity) and (2) as effective (proportion of vaginal deliveries) as inpatient induction at the hospital. Secondary outcomes are further health outcomes, experiences of pregnant women, partners and care providers, health economics and future pregnancy outcome. Participating women with a singleton pregnancy and unripe cervix between 37+0 and 41+6 gestational weeks planned for low-risk induction will undergo induction of labour with either a balloon catheter or oral misoprostol according to clinical practice at the study site and the woman’s informed choice. Randomisation will allocate women to either outpatient (home or patient hotel) or inpatient induction (standard care). Women undergoing outpatient induction can remain at home for up to 2 days, with an assessment after 24 hours including cardiotocography. Once active labour ensues, all women will receive standard care in the hospital.The assessment of non-inferiority will involve a two-sided 95% CI and 80% power, requiring randomisation of 8891 women to ensure a probability of at least 0.80 that the upper limit of a two-sided 95.7% CI for a difference in the primary safety outcome is below the non-inferiority margin of 1.5%. 31 of the 45 delivery units in Sweden are currently recruiting. Data will be collected from the electronic case report form and Swedish healthcare registers. Questionnaire and qualitative interview-based studies will be performed to explore experiences of pregnant women, partners and care providers. Additionally, a health economic evaluation will be performed.Ethics and disseminationThe Swedish Ethical Review Authority approved the study (3 June 2020; 2020-02675 with amendments 2021-03045, 2022-00865-02, 2023-01252-02, 2024-00560-02, 2024-2024-04597-02). The Swedish Medical Products Agency approved the study for the medication arm (25 August 2020, EudraCT number: 2020-000233-41; 5.1-2020-60240 with amendments 5.1-2022-73500, 5.1-2023-630). Due to changed regulation, in 2023, the study medication arm was transferred and approved by the European Medicines Agency (23 October 2023, EU CT Number: 2023-507164-39-00; CTIS 5.1.2-2023-099775 with amendments 5.1.2-2024-081916, 5.1.2-2025-036291). The Swedish Medical Products Agency approved the study for the medical device arm (6 April 2021, CIV-ID: CIV-20-09-034712; 5.1-2021-14812 with amendments 5.1-2022-14252, 5.1-2023-596, 5.1-2024-8886, 5.1-2024-55554). The medical device arm was transferred to Regulation (EU) 2017/745 (23 December 2024, 5.1-2025-24242 and amendment 5.1-2025-6050). The study will involve more than 80% of all delivery units in Sweden, which will allow for a smooth implementation of any new routine after the study’s conclusion. Results will be published in relevant scientific journals, presented at national and international conferences, and communicated to participants and relevant institutions through the Outpatient Induction study homepage (www.optionstudien.se), the webinars of the Swedish Network for National Clinical Studies in Obstetrics and Gynecology (www.snaks.se) as well as social and public media.Trial registration numberEudraCT No: 2020-000233-41, after transfer to the European Medicines Agency EU CT Number: 2023-507164-39-00; CIV-ID 20-09-034712.

Using structural MRI data from 45,615 individuals aged 3–96 years, Kaufmann and colleagues reveal that common brain disorders are associated with heritable patterns of apparent aging of the brain.

We report results from the Bipolar Exome (BipEx) collaboration analysis of whole-exome sequencing of 13,933 patients with bipolar disorder (BD) matched with 14,422 controls. We find an excess of ultra-rare protein-truncating variants (PTVs) in patients with BD among genes under strong evolutionary constraint in both major BD subtypes. We find enrichment of ultra-rare PTVs within genes implicated from a recent schizophrenia exome meta-analysis (SCHEMA; 24,248 cases and 97,322 controls) and among binding targets of CHD8. Genes implicated from genome-wide association studies (GWASs) of BD, however, are not significantly enriched for ultra-rare PTVs. Combining gene-level results with SCHEMA, AKAP11 emerges as a definitive risk gene (odds ratio (OR) = 7.06, P  = 2.83 × 10 −9 ). At the protein level, AKAP-11 interacts with GSK3B, the hypothesized target of lithium, a primary treatment for BD. Our results lend support to BD’s polygenicity, demonstrating a role for rare coding variation as a significant risk factor in BD etiology. Exome sequencing analysis of 13,933 individuals with bipolar disorder finds enrichment of ultra-rare protein-truncating variants in constrained genes. Combined analysis with schizophrenia exome data identifies AKAP11 as a risk gene for both disorders.

The metabolic modeling community has curated information from five models to create the most comprehensive model of human metabolism to date. Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven, consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared with its predecessors, the reconstruction has improved topological and functional features, including ∼2× more reactions and ∼1.7× more unique metabolites. Using Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically generated a compendium of 65 cell type–specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/ .

Cancer research is a crucial pillar for countries to deliver more affordable, higher quality, and more equitable cancer care. Patients treated in research-active hospitals have better outcomes than patients who are not treated in these settings. However, cancer in Europe is at a crossroads. Cancer was already a leading cause of premature death before the COVID-19 pandemic, and the disastrous effects of the pandemic on early diagnosis and treatment will probably set back cancer outcomes in Europe by almost a decade. Recognising the pivotal importance of research not just to mitigate the pandemic today, but to build better European cancer services and systems for patients tomorrow, the Lancet Oncology European Groundshot Commission on cancer research brings together a wide range of experts, together with detailed new data on cancer research activity across Europe during the past 12 years. We have deployed this knowledge to help inform Europe's Beating Cancer Plan and the EU Cancer Mission, and to set out an evidence-driven, patient-centred cancer research roadmap for Europe. The high-resolution cancer research data we have generated show current activities, captured through different metrics, including by region, disease burden, research domain, and effect on outcomes. We have also included granular data on research collaboration, gender of researchers, and research funding. The inclusion of granular data has facilitated the identification of areas that are perhaps overemphasised in current cancer research in Europe, while also highlighting domains that are underserved. Our detailed data emphasise the need for more information-driven and data-driven cancer research strategies and planning going forward. A particular focus must be on central and eastern Europe, because our findings emphasise the widening gap in cancer research activity, and capacity and outcomes, compared with the rest of Europe. Citizens and patients, no matter where they are, must benefit from advances in cancer research. This Commission also highlights that the narrow focus on discovery science and biopharmaceutical research in Europe needs to be widened to include such areas as prevention and early diagnosis; treatment modalities such as radiotherapy and surgery; and a larger concentration on developing a research and innovation strategy for the 20 million Europeans living beyond a cancer diagnosis. Our data highlight the important role of comprehensive cancer centres in driving the European cancer research agenda. Crucial to a functioning cancer research strategy and its translation into patient benefit is the need for a greater emphasis on health policy and systems research, including implementation science, so that the innovative technological outputs from cancer research have a clear pathway to delivery. This European cancer research Commission has identified 12 key recommendations within a call to action to reimagine cancer research and its implementation in Europe. We hope this call to action will help to achieve our ambitious 70:35 target: 70% average 10-year survival for all European cancer patients by 2035.

Discovery of cancer risk variants in the sequence of the germline genome can shed light on carcinogenesis. Here we describe gene burden association analyses, aggregating rare missense and loss of function variants, at 22 cancer sites, including 130,991 cancer cases and 733,486 controls from Iceland, Norway and the United Kingdom. We identified four genes associated with increased cancer risk; the pro-apoptotic BIK for prostate cancer, the autophagy involved ATG12 for colorectal cancer, TG for thyroid cancer and CMTR2 for both lung cancer and cutaneous melanoma. Further, we found genes with rare variants that associate with decreased risk of cancer; AURKB for any cancer, irrespective of site, and PPP1R15A for breast cancer, suggesting that inhibition of PPP1R15A may be a preventive strategy for breast cancer. Our findings pinpoint several new cancer risk genes and emphasize autophagy, apoptosis and cell stress response as a focus point for developing new therapeutics. Burden testing in three large European ancestry cohorts identifies new risk genes for a number of common cancer types, including pan-cancer protective variants in AURKB and breast cancer protective variants in PPP1R15A.