Evidence map›Paper›PMID 34513671›Full record

ArticleFrontiers in oncology2021

A Prospective Study of Liver Regeneration After Radiotherapy Based on a New (Su'S) Target Area Delineation.

Ting-Shi Su, Li-Qing Li, Shi-Xiong Liang, Bang-De Xiang, Jian-Xu Li, Jia-Zhou Ye, Le-Qun Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Ting-Shi SuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Li-Qing LiDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Shi-Xiong LiangDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Bang-De XiangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Jian-Xu LiDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Jia-Zhou YeDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Le-Qun LiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we designed a new (Su'S) target area delineation to protect the normal liver during liver regeneration and prospectively evaluate liver regeneration after radiotherapy, as well as to explore the clinical factors of liver regeneration and established a model and nomogram.

methodsThirty patients treated with preoperative downstaging radiotherapy were prospectively included in the training cohort, and 21 patients treated with postoperative adjuvant radiotherapy were included in the validation cohort. The cut-off points of each optimal predictor were obtained using receiver-operating characteristic analysis. A model and nomogram for liver regeneration after radiotherapy were developed and validated.

resultsAfter radiotherapy, 12 (40%) and 13 (61.9%) patients in the training and validation cohorts experienced liver regeneration, respectively. The risk stratification model based on the cutoffs of standard residual liver volume spared from at least 20 Gy (SVs20 = 303.4 mL/m

conclusionsSVs20 and ALT were optimal predictors of liver regeneration. This model may be beneficial to the constraints of the normal liver outside the radiotherapy-targeted areas.

Indexed as

hepatocellular carcinomaliver regenerationmodelnomogramradiotherapy

Identifiers

PMID34513671
PMCPMC8426619
OpenAlexW3197917262

What OpenQuestion holds

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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.