Evidence map›Paper›PMID 35308774›Full record

ArticleCureus2022

The Future of Cross-Continental Telemedicine in the Management of Complicated Endocrine Patients and Its Suitability Based on a Case Report.

Zahid Khan, Gideon Mlawa, Yousif Yousif, Abdullah Afghan, Dauda Balami, Mohammed Mohammed, SyedAun Muhammad, Vinod Warrier, Animesh Gupta, Maab Ibrahim

Abstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

10 authors.

Zahid KhanCardiology, Royal Free Hospital, London, GBR.
Gideon MlawaInternal Medicine and Diabetes and Endocrinology, Barking, Havering and Redbridge University Hospitals NHS Trust, London, GBR.
Yousif YousifInternal Medicine, Barking, Havering and Redbridge University Hospitals NHS Trust, London, GBR.
Abdullah AfghanInternal Medicine, Daisy Hill Acute Hospital, Newry, GBR.
Dauda BalamiInternal Medicine, Foxglove Multispecialty Hospital, Abuja, NGA.
Mohammed MohammedInternal Medicine, Barking, Havering and Redbridge University Hospitals NHS Trust, London, GBR.
SyedAun MuhammadCardiology, Mid and South Essex NHS Foundation Trust, Southend on Sea, GBR.
Vinod WarrierInternal Medicine, Mid and South Essex NHS Foundation Trust, Southend on Sea, GBR.
Animesh GuptaAcute Internal Medicine, Barking, Havering and Redbridge University Hospital NHS Trust, London, GBR.
Maab IbrahimInternal Medicine, Sandwell and West Birmingham NHS Trust, Birmingham, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine is rapidly evolving to provide increased access to high-quality healthcare, and it has gained more traction during the current COVID-19 pandemic. Telemedicine was mostly restricted to remote areas, but with the COVID-19 pandemic, it has been adopted by hospitals and its use has increased significantly. In addition, international collaboration has also increased, and we present a case report from Nigeria whereby a patient was diagnosed with a pituitary tumor through telemedicine, and he underwent successful surgery. This case report highlights the opportunity for collaboration beyond borders and for health care professionals to work with developing countries to improve patients' care.

Indexed as

emergency neurosurgeryinternational collaboration and developmentpituitary adenoma. brain tumortelehealth educationtelemedicine (tm)transphenoidal surgeryvideo telemedicine

Identifiers

PMID35308774
PMCPMC8923258

What OpenQuestion holds

Textmetadata
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.