Evidence map›Paper›PMID 33754044›Full record

ArticleTheranostics2021

Identification and validation of hypoxia-derived gene signatures to predict clinical outcomes and therapeutic responses in stage I lung adenocarcinoma patients.

Run Shi, Xuanwen Bao, Kristian Unger, Jing Sun, Shun Lu, Farkhad Manapov, Xuanbin Wang, Claus Belka, Minglun Li

Abstract read
In one paragraph

Article in Theranostics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Run ShiDepartment of Radiation Oncology, University Hospital, LMU Munich, Munich D-81377, Germany.
Xuanwen BaoDepartment of Medical Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
Kristian UngerDepartment of Radiation Oncology, University Hospital, LMU Munich, Munich D-81377, Germany.
Jing SunDepartment of Radiation Oncology, University Hospital, LMU Munich, Munich D-81377, Germany.
Shun LuDepartment of Radiotherapy, Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China.
Farkhad ManapovDepartment of Radiation Oncology, University Hospital, LMU Munich, Munich D-81377, Germany.
Xuanbin WangLaboratory of Chinese Herbal Pharmacology, Oncology Center, Renmin Hospital, Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine, Shiyan 442000, China.
Claus BelkaDepartment of Radiation Oncology, University Hospital, LMU Munich, Munich D-81377, Germany.
Minglun LiDepartment of Radiation Oncology, University Hospital, LMU Munich, Munich D-81377, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

TranscriptomeAdenocarcinoma of LungAdultAgedAged, 80 and overChemotherapy, AdjuvantComputational BiologyFemaleHumansImmune Checkpoint InhibitorsLung NeoplasmsMachine LearningMaleMiddle AgedNeoplasm StagingPneumonectomyImmune Checkpoint InhibitorsClinical outcomesGenomic alterationsHypoxiaMachine learning.Stage I lung adenocarcinoma

Identifiers

PMID33754044
PMCPMC7978303

What OpenQuestion holds

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LicenceCC BY
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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.