Evidence map›Paper›PMID 38854106›Full record

ArticlebioRxiv : the preprint server for biology2024

micronuclAI: Automated quantification of micronuclei for assessment of chromosomal instability.

Miguel A Ibarra-Arellano, Lindsay A Caprio, Aroj Hada, Niklas Stotzem, Luke Cai, Shivem Shah, Johannes C Melms, Florian Wünneman, Benjamin Izar, Denis Schapiro

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

10 authors.

Miguel A Ibarra-ArellanoORCID 0000-0001-8411-4854
Lindsay A Caprio
Niklas Stotzem
Johannes C Melms
Florian Wünneman

Funding

Medical Scientist Training ProgramT32GM145440 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STEVEN L REINER · 2022 to 2026
$7.3M
NIGMS NIH HHS T32 GM145440
6 · The paper itself

Abstract

Chromosomal instability (CIN) is a hallmark of cancer that drives metastasis, immune evasion and treatment resistance. CIN results from chromosome mis-segregation events during anaphase, as excessive chromatin is packaged in micronuclei (MN), that can be enumerated to quantify CIN. Despite recent advancements in automation through computer vision and machine learning, the assessment of CIN remains a predominantly manual and time-consuming task, thus hampering important work in the field. Here, we present

Identifiers

PMID38854106
PMCPMC11160592

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.