Evidence map›Paper›PMID 42500311›Full record

ArticleKidney international reports2026

Geographical Information Systems-Based Wildfire Risk Analysis of Canadian Dialysis Facilities.

Daniel McCollin, Raja Sengupta, Saly El Wazze, Shaifali Sandal

Abstract read
In one paragraph

Article in Kidney international reports, 2026. 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

4 authors.

Daniel McCollinDepartment of Natural Resource and Environmental Management, The University of the West Indies Cave Hill Campus, Bridgetown, Barbados.
Raja SenguptaDepartment of Geography & McGill School of Environment, McGill University, Montreal, Quebec, Canada.
Saly El WazzeDepartment of Medicine, MEDIC Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Shaifali SandalDepartment of Medicine, MEDIC Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: People receiving in-center hemodialysis face heightened disaster vulnerability. Strengthening system resilience is essential, and a risk assessment can strategically guide these efforts. We conducted a risk analysis of Canadian dialysis facilities (DFs) from wildfires. Methods: Using a Geographical Information Systems-based method, we integrated the location of DFs with multiple publicly available datasets to assess historical wildfire exposure, conduct a current wildfire risk assessment, and estimate patients at risk. Results: We mapped 341 DFs using georeferenced point data that have 5294 dialysis stations, where 23,185 patients receive in-center hemodialysis. Between 1994 and 2024, a significant increase in wildfires was noted- 8524, 12,947, and 15,994 wildfires were observed from 1994 to 2013, 2004 to 2013, and 2014 to 2024 (excluding 2020), respectively ( Conclusion: Although these findings should be interpreted as estimates of potential exposure under the current distribution of DFs, our findings highlight the vulnerability of dialysis patients and systems to disasters, and that historical exposure does not necessarily correlate with current risks.

Indexed as

climate changedialysiskidney carenephrologyresiliencewildfires

Identifiers

PMID42500311
PMCPMC13396596

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.