Evidence map›Paper›PMID 36561231›Full record

ArticlePathology oncology research : POR2022

Negative correlation between the nuclear size and nuclear Lamina component Lamin A in intraductal papillary mucinous neoplasms of the pancreas.

Tamaki Hiroe, Shunichi Moriya, Sayaka Kobayashi, Yoshimi Nishijima, Akira Watanabe, Ken Shirabe, Hayato Ikota, Hideaki Yokoo, Masanao Saio

Open access · goldAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

9 authors at 2 institutions in 1 country.

Tamaki HiroeLaboratory of Histopathology and Cytopathology, Department of Laboratory Sciences, Graduate School of Health Sciences, Gunma University, Maebashi, Gunma, Japan.
Shunichi MoriyaLaboratory of Histopathology and Cytopathology, Department of Laboratory Sciences, Graduate School of Health Sciences, Gunma University, Maebashi, Gunma, Japan.
Sayaka KobayashiLaboratory of Histopathology and Cytopathology, Department of Laboratory Sciences, Graduate School of Health Sciences, Gunma University, Maebashi, Gunma, Japan.
Yoshimi NishijimaLaboratory of Histopathology and Cytopathology, Department of Laboratory Sciences, Graduate School of Health Sciences, Gunma University, Maebashi, Gunma, Japan.
Akira WatanabeDepartment of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Gunma University, Maebashi, Gunma, Japan.
Ken ShirabeDepartment of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Gunma University, Maebashi, Gunma, Japan.
Hayato IkotaClinical Department of Pathology, Gunma University Hospital, Maebashi, Gunma, Japan.
Hideaki YokooDepartment of Human Pathology, Graduate School of Medicine, Gunma University, Maebashi, Gunma, Japan.
Masanao SaioLaboratory of Histopathology and Cytopathology, Department of Laboratory Sciences, Graduate School of Health Sciences, Gunma University, Maebashi, Gunma, Japan.
Gunma University · JPGunma University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Adenocarcinoma, MucinousAdenocarcinoma, PapillaryCarcinoma, Pancreatic DuctalPancreatic Intraductal NeoplasmsPancreatic NeoplasmsHumansLamin Type ANuclear LaminaLamin Type Acomputer-assisted image analysisEmerinintraductal papillary mucinous neoplasmLamin Anuclear morphology

Identifiers

PMID36561231
PMCPMC9764245
OpenAlexW4311642279

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.