Evidence map›Paper›PMID 35126031›Full record

ArticleInternational journal of public health2021

Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model.

Di Zhu, Dongnan Zhou, Nana Li, Bing Han

Abstract read
In one paragraph

Article in International journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
  2. Review
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  12. Article
  13. Comparison of Three Prediction Models for Predicting Chronic Obstructive Pulmonary Disease in China.International journal of chronic obstructive pulmonary disease · 2023
    Article
  14. Article
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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

4 authors.

Di ZhuDepartment of Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Dongnan ZhouDepartment of Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Nana LiDepartment of Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Bing HanDepartment of Biostatistics, School of Public Health, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes MellitusFinancial StressChinaForecastingHumansIncidenceModels, StatisticalARIMA modelChinadiabeteseconomic burdenprevalence trend

Identifiers

PMID35126031
PMCPMC8810486

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.