Article in Biomedicines, 2023. 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
0.8field-weighted citation impact, top 24% 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, 4 citations in OpenAlex.
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
12 authors at 4 institutions in 2 countries.
Agnes Stephanie HarahapDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.ORCID 0000-0001-8920-7873
Imam SubektiDepartment of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.
Sonar Soni PanigoroDepartment of Surgery, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.ORCID 0000-0003-0748-9884
AsmarinahDepartment of Medical Biology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.
LisnawatiDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.
Retno Asti WerdhaniDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta 10310, Indonesia.
Hasrayati AgustinaDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin General Hospital, Bandung 40161, Indonesia.
Dina KhoirunnisaDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.ORCID 0009-0006-1801-3223
Mutiah MutmainnahDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.ORCID 0009-0000-6036-0647
Fajar Lamhot GultomDepartment of Anatomical Pathology, MRCCC Siloam Hospital, Jakarta 12930, Indonesia.
Abdillah Hasbi AssadykDepartment of Otorhinolaryngology, Head and Neck Surgery, Harapan Kita National Women and Children Health Center, Jakarta 11420, Indonesia.ORCID 0009-0000-8944-4537
Maria Francisca HamDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia.
University of Indonesia · IDDr. Hasan Sadikin General Hospital · IDPembuluh Darah Harapan Kita · IDUniversitas Kristen Indonesia · ID
Funding
Universitas Indonesia-Publikasi Terindeks Internasional (PUTI) NKB-1298/UN2.RST/HKP.05.00/2020
6 · The paper itself
Abstract
The Cancer Genome Atlas (TCGA) has classified papillary thyroid carcinoma (PTC) into indolent RAS-like and aggressive BRAF-like based on its distinct driver gene mutations. This retrospective study aimed to assess clinicopathology and pERK1/2 expression variations between BRAF-like and RAS-like PTCs and establish predictive models for
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.
Developing Models to Predict · full record | OpenQuestion