Evidence map›Paper›PMID 34466338›Full record

ArticleIntractable & rare diseases research2021

Integrative overview of IFITMs family based on Bioinformatics analysis.

Pengchao Liu, Yongtao Zhang, Shanshan Zhang, Chuanming Peng, Wei Yang, Xianxian Li, Chao Zhang, Mian Li, Jinxiang Han, Yanqin Lu

Abstract read
In one paragraph

Article in Intractable & rare diseases research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Pengchao LiuDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Yongtao ZhangDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Shanshan ZhangDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Chuanming PengDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Wei YangDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Xianxian LiDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Chao ZhangDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Mian LiDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Jinxiang HanDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.
Yanqin LuDepartment of Endocrinology, The First Affiliated Hospital of Shandong First Medical University, Ji'nan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human interferon-induced transmembrane proteins (IFITMs) family is a multi-functional biomacromolecule family playing a critical role in various physiological processes, such as, antiviral immunity, tumor suppression, and bone formation. Although there are many studies proving that a subset of tumors strongly links to the changes of IFITMs, the link between different IFITMs mutant types and diverse tumors has not been studied thoroughly. To investigate the law of expression among IFITMs internal members and the linking of IFITMs mutant types and cancers, online databases were used to pool together relevant data for bioinformatics analysis. Here, we summarize mutations, expression, and functions of human

Indexed as

IFITMIFITM expressionIFITM mutationsIn silico predictionTumor

Identifiers

PMID34466338
PMCPMC8397817

What OpenQuestion holds

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Registered trials

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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.