Evidence map›Paper›PMID 33256045›Full record

ArticleJournal of personalized medicine2020

Sex Differences in Time-Series Changes in Pseudo-

Hiroshi Kataoka, Mamiko Ohara, Toshio Mochizuki, Kazuhiro Iwadoh, Yusuke Ushio, Keiko Kawachi, Kentaro Watanabe, Saki Watanabe, Taro Akihisa, Shiho Makabe and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

18 authors.

Hiroshi KataokaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.ORCID 0000-0001-9543-7608
Mamiko OharaDepartment of Nephrology, Kameda Medical Center, Chiba 296-8602, Japan.
Toshio MochizukiDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.ORCID 0000-0002-3820-3191
Kazuhiro IwadohDepartment of Blood Purification, Tokyo Women's Medical University, Tokyo 162-8666, Japan.ORCID 0000-0001-5000-5203
Yusuke UshioDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Keiko KawachiDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Kentaro WatanabeDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Saki WatanabeDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Taro AkihisaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Shiho MakabeDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Shun ManabeDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Masayo SatoDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Naomi IwasaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Rie YoshidaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Yukako SawaraDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Norio HanafusaDepartment of Blood Purification, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Ken TsuchiyaDepartment of Blood Purification, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
Kosaku NittaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo 162-8666, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on sex differences in time-series changes in pseudo-

Indexed as

chronic kidney diseasehyperuricemiapatient-centered medicineprognosissex difference: time-series changes in pseudo-R2

Identifiers

PMID33256045
PMCPMC7711484

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.