Evidence map›Paper›PMID 36750561›Full record

ArticleNature communications2023

Glacial lake outburst floods threaten millions globally.

Caroline Taylor, Tom R Robinson, Stuart Dunning, J Rachel Carr, Matthew Westoby

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Rapid ice-marginal lake growth in Alaska driven by glacier retreat through bed overdeepenings.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Catastrophic shifts in large lake levels.Fundamental research · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Caroline TaylorSchool of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK.
Tom R RobinsonSchool of Earth & Environment, University of Canterbury, Christchurch, New Zealand. thomas.robinson@canterbury.ac.nz.ORCID http://orcid.org/0000-0002-6496-4891
Stuart DunningSchool of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK.
J Rachel CarrSchool of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK.
Matthew WestobyDepartment of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-2070-5580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glacial lake outburst floods (GLOFs) represent a major hazard and can result in significant loss of life. Globally, since 1990, the number and size of glacial lakes has grown rapidly along with downstream population, while socio-economic vulnerability has decreased. Nevertheless, contemporary exposure and vulnerability to GLOFs at the global scale has never been quantified. Here we show that 15 million people globally are exposed to impacts from potential GLOFs. Populations in High Mountains Asia (HMA) are the most exposed and on average live closest to glacial lakes with ~1 million people living within 10 km of a glacial lake. More than half of the globally exposed population are found in just four countries: India, Pakistan, Peru, and China. While HMA has the highest potential for GLOF impacts, we highlight the Andes as a region of concern, with similar potential for GLOF impacts to HMA but comparatively few published research studies.

Identifiers

PMID36750561
PMCPMC9905510

What OpenQuestion holds

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Registered trials

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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.