Evidence map›Paper›PMID 31828163›Full record

Observational studyJournal of diabetes research2019

Characteristics of Newly Diagnosed Type 2 Diabetes in Chinese Older Adults: A National Prospective Cohort Study.

Fang Lv, Xiaoling Cai, Dayi Hu, Changyu Pan, Danyi Zhang, Jie Xu, Linong Ji

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of diabetes research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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  6. Observational
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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 2 institutions in 1 country.

Fang LvDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-1872-781X
Xiaoling CaiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-7881-0543
Dayi HuDepartment of Cardiology, Peking University People's Hospital, Beijing, China.
Changyu PanDepartment of Endocrinology and Metabolism, Chinese People's Liberation Army General Hospital, Beijing, China.
Danyi ZhangVitalStrategic Research Institute, Shanghai, China.
Jie XuVitalStrategic Research Institute, Shanghai, China.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-3262-2168
Peking University · CNPeople's Liberation Army No. 150 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the metabolic profiles of newly diagnosed type 2 diabetes (NEW2D) in Chinese older adults (≥65 years) and assess the proportion of patients who achieved the targeted goals of blood glucose, blood pressure, and blood lipid.

methodsNEW2D study was an observational, longitudinal, prospective cohort study involving patients who were diagnosed with type 2 diabetes (T2D) within the past 6 months and had a follow-up of 12 months. Participants were divided into younger NEW2D group (aged 20-65 years old) and older NEW2D group (aged ≥65 years old) according to age of diabetes onset. The baseline metabolic profiles were compared and the proportion of patients achieving adequate control of blood glucose, blood pressure, and blood lipids in reference to target goals were assessed during treatment.

resultsThe older NEW2D (

conclusionThe older NEW2D patients have special metabolic profiles compared with younger patients. The control of cardiovascular disease risk factors was suboptimal in older adults with type 2 diabetes.

Indexed as

AdultAgedAge FactorsBlood PressureBody Mass IndexChinaCholesterolCholesterol, HDLCholesterol, LDLCohort StudiesDiabetes Mellitus, Type 2DyslipidemiasFemaleGlycated HemoglobinHumansHypertensionCholesterolCholesterol, HDLCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, humanTriglycerides

Identifiers

PMID31828163
PMCPMC6885297
OpenAlexW2988737410

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.