Evidence map›Paper›PMID 30653163›Full record

ArticleMedicine2019

Marfan syndrome with type 2 diabetes mellitus: A case report from China.

Yingyi Zhou, Xuan Du, Chao Chen, Bimin Shi, Ke Chen

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 99% 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, 3 citations in OpenAlex.

  1. Article
  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

5 authors at 1 institution in 1 country.

Yingyi ZhouEndocrine Department, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Xuan Du
Chao Chen
Bimin Shi
Ke Chen
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleMarfan syndrome (MFS) is a genetic disorder of the connective tissue. MFS has an incidence of about 2 to 3 persons per 10,000 population. MFS is characterized majorly by the involvement of the eyes, skeletal muscles, and cardiovascular system. There are limited case reports of co-existence of MFS and type 2 diabetes mellitus (T2DM). PATIENT CONCERNS: A 16-year-old male patient who got admitted to our hospital with complaints of loss of vision from left eye for the last 3 days.Diagnosis of MFS along with luxation of left eye lens, and T2DM were made according to the patient's symptoms, signs, biochemical results, and ultrasonography.

interventionsThe patient received "vitrectomy (posterior approach (left eye)) + cataract extraction (left eye) + intraocular lens implantation (left eye) surgery" for luxation of left eye lens. The patient received "Bentall Operation" for MFS, and was prescribed warfarin 5 mg qod and spironolactone 20 mg bid during the follow-up period. The patient received continuous subcutaneous insulin infusion (CSII) during hospitalization, and then changed to insulin glargine preparation during the follow-up period. OUTCOMES: The vision was restored after the eye surgery and the patient also recovered well after the Bentall Operation. Additionally, there were no obvious complications during hospitalization and the follow-up period. Blood glucose levels were within normal range. LESSONS: There is a need to improve the recognition of MFS among school and community doctors. Early detection, diagnosis, and treatment of this rare disease can improve the quality of patient's life.

Indexed as

AdolescentCataractCataract ExtractionChinaDiabetes Mellitus, Type 2HumansInsulinLens Implantation, IntraocularLens SubluxationMaleMarfan SyndromeVitrectomyInsulin

Identifiers

PMID30653163
PMCPMC6370063
OpenAlexW2910690854

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.