Evidence map›Paper›PMID 34680260›Full record

ArticleCancers2021

PPARγ Targets-Derived Diagnostic and Prognostic Index for Papillary Thyroid Cancer.

Jaehyung Kim, Soo Young Kim, Shi-Xun Ma, Seok-Mo Kim, Su-Jin Shin, Yong Sang Lee, Hojin Chang, Hang-Seok Chang, Cheong Soo Park, Su Bin Lim

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 4 institutions in 2 countries.

Jaehyung KimDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID 0000-0003-2568-9951
Soo Young KimDepartment of Surgery, Ajou University School of Medicine, Suwon 16499, Korea.
Shi-Xun MaDepartment of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Seok-Mo KimThyroid Cancer Center, Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea.ORCID 0000-0001-8070-0573
Su-Jin ShinDepartment of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea.ORCID 0000-0001-9114-8438
Yong Sang LeeThyroid Cancer Center, Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea.
Hojin ChangThyroid Cancer Center, Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea.
Hang-Seok ChangThyroid Cancer Center, Department of Surgery, Institute of Refractory Thyroid Cancer, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Korea.
Cheong Soo ParkCHA Ilsan Medical Center, Department of Surgery, Goyang-si 10414, Korea.
Su Bin LimDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID 0000-0003-1752-7039
Yonsei University · KRAjou University · KRJohns Hopkins University · USNational Health Insurance Service Ilsan Hospital · KR

Funding

National Research Foundation of Korea 2021R1F1A1064122
6 · The paper itself

Abstract

In most cases, papillary thyroid cancer (PTC) is highly curable and associated with an excellent prognosis. Yet, there are several clinicopathological features that lead to a poor prognosis, underscoring the need for a better genomic strategy to refine prognostication and patient management. We hypothesized that PPARγ targets could be potential markers for better diagnosis and prognosis due to the variants found in

Indexed as

diagnosismachine learningprognosis

Identifiers

PMID34680260
PMCPMC8533916
OpenAlexW3207104867

What Socratic 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 Socratic graph.