ArticleMicroorganisms2022
Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model.
Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Artificial intelligence in forensic science: a systematic review. Part II: long-range postmortem interval estimation.International journal of legal medicine · 2026Pooled it
- Application of artificial intelligence in the determination of the postmortem interval: Systematic review of the literature and metaanalysis.Forensic science, medicine, and pathology · 2026Review
- The impact of age and insects factors on cadaver microbial communities and application to postmortem interval Estimation.International journal of legal medicine · 2026Article
- Estimating Postmortem Interval of Buried Pig Carcasses by Integrating Microbial Succession Patterns with Machine Learning Algorithms.Microorganisms · 2025Article
- Viral community succession during cadaver decomposition and its potential for estimating postmortem intervals.Applied and environmental microbiology · 2025Article
- The Latest Advances in Omics Technology for Assessing Tissue Damage: Implications for the Study of Sudden Cardiac Death.International journal of molecular sciences · 2025Review
- Microbial community profiling for forensic drowning diagnosis across locations and submersion times.BMC microbiology · 2025Article
- Advancing time-since-interval estimation for clandestine graves: a forensic ecogenomics perspective into burial and translocation timelines using massively parallel sequencing.Frontiers in microbiology · 2025Review
- Estimating postmortem interval based on oral microbial community succession in rat cadavers.Heliyon · 2024Article
- Seasonal mouse cadaver microbial study: rupture time and postmortem interval estimation model construction.PeerJ · 2024Article
- Artificial intelligence-driven microbiome data analysis for estimation of postmortem interval and crime location.Frontiers in microbiology · 2024Review
- WSGMB: weight signed graph neural network for microbial biomarker identification.Briefings in bioinformatics · 2023Article
- Changes in Microbial Communities Using Pigs as a Model for Postmortem Interval Estimation.Microorganisms · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
The estimation of a postmortem interval (PMI) is particularly important for forensic investigations. The aim of this study was to assess the succession of bacterial communities associated with the decomposition of mouse cadavers and determine the most important biomarker taxa for estimating PMIs. High-throughput sequencing was used to investigate the bacterial communities of gravesoil samples with different PMIs, and a random forest model was used to identify biomarker taxa. Redundancy analysis was used to determine the significance of environmental factors that were related to bacterial communities. Our data showed that the relative abundance of Proteobacteria, Bacteroidetes and Firmicutes showed an increasing trend during decomposition, but that of Acidobacteria, Actinobacteria and Chloroflexi decreased. At the genus level,
Indexed as
Identifiers
What 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.