Evidence map›Paper›PMID 38525163›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Exploring the Diagnostic Value of High-Frequency Ultrasound Technology for Subcutaneous Lipohypertrophy in Diabetes Patients Receiving Insulin Injections.

Zhan-He Sun, Cheng-Hong Yu, Xin Wang

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
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

3 authors at 1 institution in 1 country.

Zhan-He Sun *Department of Ultrasound, Tongxiang First People's Hospital, Tongxiang, Zhejiang Province, People's Republic of China.
Cheng-Hong Yu *Department of Ultrasound, Tongxiang First People's Hospital, Tongxiang, Zhejiang Province, People's Republic of China.
Xin WangDepartment of Ultrasound, Tongxiang First People's Hospital, Tongxiang, Zhejiang Province, People's Republic of China.
Yinchuan First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the clinical application value of high-frequency ultrasound technology in diagnosing subcutaneous lipohypertrophy at insulin injection sites in diabetes patients. Methods: All diabetes patients treated in our hospital from January 2022 to January 2023 were selected as the study subjects. The incidence of subcutaneous lipohypertrophy was calculated at the end of the study period. All patients were screened, and those meeting the inclusion criteria were registered, and basic data were collected. Patients were screened for subcutaneous lipohypertrophy using conventional clinical examination (control group) and high-frequency ultrasound technology (study group). Results: The study found that the incidence of subcutaneous lipohypertrophy in diabetes patients receiving insulin injections in our hospital from January 2022 to January 2023 was 80.99%. The average longitudinal diameter of subcutaneous lipohypertrophy in these patients was 11.66 (7.56, 21.44) mm, the transverse diameter was 12.04 (8.96, 18.29) mm, depth was (5.62±2.17) mm, and the area was 188.79 (76.85, 331.78) mm². The clinical detection rate in the study group was higher than that in the control group (P<0.05). The quantity of detected sites was greater in the study group compared to the control group (P<0.05). Conclusion: The incidence of subcutaneous lipohypertrophy in diabetes patients receiving insulin injections is relatively high clinically, and high-frequency ultrasound technology demonstrates significant potential in diagnosis. By providing high-resolution imaging and quantitative data, it effectively improves the clinical detection rate and clarifies symptoms. This technology is likely to become an important auxiliary tool in future diabetes treatment, providing more precise treatment plans for patients.

Indexed as

diabetesdiagnostic valuehigh-frequency ultrasound technologyinsulin injectionsubcutaneous lipohypertrophy

Identifiers

PMID38525163
PMCPMC10961026
OpenAlexW4392954994

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.