Evidence map›Paper›PMID 33671205›Full record

ReviewInternational journal of environmental research and public health2021

A Perspective of the Cumulative Risks from Climate Change on Mt. Everest: Findings from the 2019 Expedition.

Kimberley R Miner, Paul Andrew Mayewski, Mary Hubbard, Kenny Broad, Heather Clifford, Imogen Napper, Ananta Gajurel, Corey Jaskolski, Wei Li, Mariusz Potocki and 1 more

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kimberley R MinerClimate Change Institute, University of Maine, Orono, ME 04463, USA.ORCID 0000-0002-1006-1283
Paul Andrew MayewskiClimate Change Institute, University of Maine, Orono, ME 04463, USA.
Mary HubbardDepartment of Earth Sciences, Montana State University, Bozeman, MT 59717, USA.
Kenny BroadNational Geographic Society, Washington, DC 02917, USA.
Heather CliffordClimate Change Institute, University of Maine, Orono, ME 04463, USA.
Imogen NapperNational Geographic Society, Washington, DC 02917, USA.
Ananta GajurelNational Geographic Society, Washington, DC 02917, USA.
Corey JaskolskiAbess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL 33146, USA.ORCID 0000-0002-7849-6945
Wei LiDepartment of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA.
Mariusz PotockiClimate Change Institute, University of Maine, Orono, ME 04463, USA.
John PriscuDepartment of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2019, the National Geographic and Rolex Perpetual Planet Everest expedition successfully retrieved the greatest diversity of scientific data ever from the mountain. The confluence of geologic, hydrologic, chemical and microbial hazards emergent as climate change increases glacier melt is significant. We review the findings of increased opportunity for landslides, water pollution, human waste contamination and earthquake events. Further monitoring and policy are needed to ensure the safety of residents, future climbers, and trekkers in the Mt. Everest watershed.

Indexed as

ExpeditionsMountaineeringAltitudeClimate ChangeHumansIce Coverclimate changeMt. Everestpollutionrisk

Identifiers

PMID33671205
PMCPMC7922742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.