Evidence map›Paper›PMID 34040767›Full record

ArticleAnnals of medicine and surgery (2012)2021

Online application for self-referral of the patients with breast symptoms.

Ahsan Rao, Humayun Razzaq, Ben Panamarenko, Alex Bottle, Azeem Majeed, Emma Gray

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2021. 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
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. Observational
  2. Article
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

6 authors.

Ahsan RaoDepartment of Surgery, Southend University Hospital NHFT, Southend on Sea Essex, UK.
Humayun RazzaqDepartment of Surgery, Southend University Hospital NHFT, Southend on Sea Essex, UK.
Ben PanamarenkoDepartment of Surgery, Southend University Hospital NHFT, Southend on Sea Essex, UK.
Alex BottleSchool of Public Health and Faculty of Medicine, Imperial College London, UK.
Azeem MajeedDepartment of Public Health and Primary Care, Imperial College London, UK.
Emma GrayDepartment of Breast Surgery, Southend University Hospital NHFT, Southend on Sea Essex, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe study aimed to devise a self-referral mobile/web application for patients with new breast symptoms, giving them an outcome, thus bypassing the need for primary care consultation.

methodsThe online application was designed on the automated algorithm based on evidence-based guidelines for referral to breast onco-plastic units. A retrospective questionnaire-based anonymous survey was carried out at the breast unit in Southend University Hospital (January 2019 to March 2020). The outcome of the patients was recorded, the same data was entered in the software and its outcome was compared with their clinic outcome to assess and validate the software. Chi-square and

resultsData was collected for 366 patients who were referred urgently to the clinic. Only 50.5% (n = 186) were appropriately referred, with the main complaint being breast lump (94.1%). 39.6% of referred patients did not require a secondary care referral. Sensitivity and specificity for identifying patients requiring urgent referral was 100% and 98%, respectively.

conclusionA significant number of urgent referrals to breast units do not require urgent specialist referral, and this results in a big strain on the hospital service. The discussed self-referral pathway is a promising alternative with the potential to reduce workload in primary and secondary care and improve patient satisfaction.

Indexed as

Breast cancer pathwayBreast care awarenessBreast complaints in GPSelf-referral breast applicationUrgent breast clinic appointment

Identifiers

PMID34040767
PMCPMC8141459

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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.