ArticleScientific reports2026
The characteristics and spatiotemporal evolution of heatwaves and droughts across six typical regions in China.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Association Between Extreme Climate Exposures and Bodily Pain: Evidence from the Chinese Health and Retirement Longitudinal Study.Journal of epidemiology and global health · 2026Article
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Extreme heatwaves and droughts pose critical threats to global water, food, and socioeconomic security. However, comprehensive understanding of their spatiotemporal dynamics, underlying drivers, and cascading impacts remains limited, particularly across China's ecologically vulnerable regions. This study employs GLDAS data, validated against NOAA flux tower observations (R
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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.