Evidence map›Paper›PMID 36203677›Full record

ReviewFrontiers in public health2022

From past to future: Bibliometric analysis of global research productivity on nomogram (2000-2021).

Xiaoxue Wang, Jingliang Lu, Zixuan Song, Yangzi Zhou, Tong Liu, Dandan Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 pooled it
27.0field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 2 syntheses or guidelines pooled it, 128 citations in OpenAlex.

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37 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Xiaoxue WangDepartment of Health Management, Shengjing Hospital of China Medical University, Shenyang, China.
Jingliang LuLanzhou Information Center, Chinese Academy of Sciences, Lanzhou, China.
Zixuan SongDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Yangzi ZhouDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Tong LiuDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Dandan ZhangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CNWuhan Branch of the National Science Library · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nomogram, a visual clinical predictive model, provides a scientific basis for clinical decision making. Herein, we investigated 20 years of nomogram research responses, focusing on current and future trends and analytical challenges. Methods: We mined data of scientific literature from the Core Collection of Web of Science, searching for the original articles with title "Nomogram Results: In total, 4,176 original articles written by 19,158 authors were included from 915 sources. Annually, Nomogram publications are continually produced, which have rapidly grown since 2018. China published the most articles; however, its total citations ranked second after the United States. Both total citations and average article citations in the United States rank first globally, and a high degree of cooperation exists between countries. Frontiers in Oncology published the most papers (238); this number has grown rapidly since 2019. Journal of Urology had the highest H-index, with an average increase in publications over the past 20 years. Most research topics were tumor-related, among which tumor risk prediction and prognostic evaluation were the main contents. Research on prognostic assessment is more published and advanced, while risk prediction and diagnosis have good developmental prospects. Furthermore, nomogram of the urinary system has been highly developed. Following advancements in nomogram modeling, it has recently been applied to non-oncological subjects. Conclusion: This bibliometric analysis provides a comprehensive overview of the current nomogram status, which could enable better understanding of its development over the years, and provide global researchers a comprehensive analysis and structured information to help identify hot spots and gaps in future research.

Indexed as

NeoplasmsNomogramsBibliometricsChinaHumansUnited Statesbibliometric analysisBibliometrixBiblioshinydata miningnomogram

Identifiers

PMID36203677
PMCPMC9530946
OpenAlexW4297906984

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.