Evidence map›Paper›PMID 36817472›Full record

ArticleFrontiers in immunology2023

Serum amyloid alpha 1-2 are not required for liver inflammation in the 4T1 murine breast cancer model.

Chenfeng He, Riyo Konishi, Ayano Harata, Yuki Nakamura, Rin Mizuno, Mayuko Yoda, Masakazu Toi, Kosuke Kawaguchi, Shinpei Kawaoka

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. 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
0.2field-weighted citation impact, top 42% 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, 1 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 3 institutions in 1 country.

Chenfeng HeInter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Riyo KonishiInter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Ayano HarataInter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Yuki NakamuraInter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Rin MizunoInter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Mayuko YodaDepartment of Integrative Bioanalytics, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai, Japan.
Masakazu ToiDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kosuke KawaguchiDepartment of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shinpei KawaokaInter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Kyoto University · JPKyoto Medical Center · JPTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancers induce the production of acute phase proteins such as serum amyloid alpha (SAA) in the liver and cause inflammation in various host organs. Despite the well-known coincidence of acute phase response and inflammation, the direct roles of SAA proteins in inflammation in the cancer context remains incompletely characterized, particularly

Indexed as

HepatitisNeoplasmsAcute-Phase ProteinsAnimalsInflammationMiceSerum Amyloid A ProteinAcute-Phase ProteinsSerum Amyloid A Protein4T1 breast canceracute phase responsebone marrowcancer-induced systemic inflammationliverneutrophilsserum amyloid alpha

Identifiers

PMID36817472
PMCPMC9935569
OpenAlexW4319162110

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.