ArticleForesight (Colchester, Vt.)2015
The United Nations Probabilistic Population Projections: An Introduction to Demographic Forecasting with Uncertainty.
Article in Foresight (Colchester, Vt.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- National Burden of Breast Cancer in Saudi Arabia, 1990-2023, With Forecasts to 2050: A Systematic Analysis for the Global Burden of Disease Study 2023.Evidance health sciences · 2026Article
- Mutagenic impact of picric acid on chloroplast genome and a selection of biological attributes of Brassica napus L. (Brassicaceae).BMC genomics · 2025Article
- Probabilistic County-Level Population Projections.Demography · 2023Article
- Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000-2030.Scientific reports · 2022Article
- The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research.Scientific data · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The United Nations publishes projections of populations around the world and breaks these down by age and sex. Traditionally, they are produced with standard demographic methods based on assumptions about future fertility rates, survival probabilities, and migration counts. Such projections, however, were not accompanied by formal statements of uncertainty expressed in probabilistic terms. In July 2014 the UN for the first time issued official probabilistic population projections for all countries to 2100. These projections quantify uncertainty associated with future fertility and mortality trends worldwide. This review article summarizes the probabilistic population projection methods and presents forecasts for population growth over the rest of this century.
Identifiers
26617476PMC4662414What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.