Curated scientific intelligence
Developments across the published libraries, ranked by evidence, connection, and — if you follow topics — relevance to you. Each card is a movement in the literature: what changed, how the evidence is labeled, and why it matters.
Each development carries an evidence label. What the labels mean
Latest is ordered by when PaperFren added the explanation, not by the study's original publication date.
PFAS · Exposure monitoring
What changed
The short and ultrashort fraction dominates in these matrices. With 81 participants this cannot estimate national prevalence, and it establishes exposure rather than any health effect at these levels.
Soil carbon · Biodiversity
What changed
Microbial biomass and turnover explain more of the pattern than root input does in this grassland. One sampling date at one site, and carbon-use efficiency was statistically flat rather than shown to be irrelevant everywhere.
Air pollution · Mortality
What changed
A large low-exposure cohort finds elevated risk throughout its range. Confidence intervals widen at the bottom of the spline, and smoking intensity and indoor sources are imperfectly captured.
Air pollution · Diabetes
What changed
Separating traffic-specific from total particles changed the result within one cohort. This is observational incidence, exposure is modelled at the residence rather than measured personally, and a 331-case cohort limits precision.
Air pollution · Cancer
What changed
A full screen gives the context a single-site result lacks, and identifies brain and cervical cancer as the leads worth pursuing. Confounder control shrank many smoking-related associations, cervical results lack HPV data, and the exposure is modelled at the residence.
Air pollution · Particulate matter
What changed
Composition is an effect modifier, so mass alone under-describes the exposure. The study does not identify which species is responsible, and it covers only people aged 65 and over.