Evidence map›Paper›PMID 33488844›Full record

ArticleDisease markers2020

New Approach for Risk Estimation Algorithms of

Hulya Yazici, Demet Akdeniz Odemis, Dogukan Aksu, Ozge Sukruoglu Erdogan, Seref Bugra Tuncer, Mukaddes Avsar, Seda Kilic, Gozde Kuru Turkcan, Betul Celik, Muhammed Ali Aydin

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

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Hulya YaziciIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-8919-0482
Demet Akdeniz OdemisIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-2271-8481
Dogukan AksuIstanbul University-Cerrahpasa, Engineering Faculty, Computer Engineering Department, 34320 Avcilar, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-4551-3921
Ozge Sukruoglu ErdoganIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-0893-1251
Seref Bugra TuncerIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-8023-3223
Mukaddes AvsarIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-5489-9088
Seda KilicIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0003-4417-4005
Gozde Kuru TurkcanIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0001-5974-4731
Betul CelikIstanbul University, Oncology Institute, Department of Basic Oncology, Division of Cancer Genetics, 34093 Fatih, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-4093-1892
Muhammed Ali AydinIstanbul University-Cerrahpasa, Engineering Faculty, Computer Engineering Department, 34320 Avcilar, Istanbul, Turkey.ORCID https://orcid.org/0000-0002-1846-6090
Istanbul University · TRIstanbul University-Cerrahpaşa · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Supervised Machine LearningBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenetic TestingHumansBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

PMID33488844
PMCPMC7787793
OpenAlexW3112937223

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.