Evidence map›Paper›PMID 36922618›Full record

ArticleScientific reports2023

Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach.

Joowon Chung, Doyun Kim, Jongmun Choi, Sehyo Yune, Kyoung Doo Song, Seonkyoung Kim, Michelle Chua, Marc D Succi, John Conklin, Maria G Figueiro Longo and 4 more

Open access · goldFull text readPublished Erratum
In one paragraph

Article in Scientific reports, 2023. 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 97% 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Joowon Chung *Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Doyun Kim *Department of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Jongmun ChoiDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Sehyo YuneDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Kyoung Doo SongDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Seonkyoung KimDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Michelle ChuaDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Marc D SucciDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
John ConklinDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Maria G Figueiro LongoDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Jeanne B AckmanDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Milena PetranovicDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Michael H LevDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA.
Synho DoDepartment of Radiology, Massachusetts General Brigham and Harvard Medical School, Boston, MA, USA. sdo@mgh.harvard.edu.
Harvard University · USMassachusetts General Hospital · USSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID36922618
PMCPMC10015513
OpenAlexW4324355944

What OpenQuestion holds

Textfull text, public
LicenceCC BY
identifiers read1
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.