Evidence map›Paper›PMID 39998697›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2025

Efficient patient-initiated follow-up after orthopaedic injections.

Ka Siu Fan, Iqraa Haq, Ali Taha, Andrew Carne, Chintu Gademsetty, Matthew Solan

Abstract read
In one paragraph

Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2025. 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
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

Ka Siu FanRoyal Surrey County Hospital, Guildford, UK. k.fan@surrey.ac.uk.
Iqraa HaqRoyal Surrey County Hospital, Guildford, UK. iqraa.haq@nhs.net.
Ali TahaRoyal Surrey County Hospital, Guildford, UK. ali.taha3@nhs.net.
Andrew CarneRoyal Surrey County Hospital, Guildford, UK. andrew.carne@nhs.net.
Chintu GademsettyRoyal Surrey County Hospital, Guildford, UK. chintu.gademsetty@nhs.net.
Matthew SolanRoyal Surrey County Hospital, Guildford, UK. matthewsolan@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnnually, thousands of patients with foot and ankle pain receive injections for both diagnostic and therapeutic purposes. However, since the duration of pain relief is unpredictable, planning follow-up appointments is difficult. This study aimed to improve patient-initiated follow-up through pain diaries.

methodsThe diagnosis, intervention and outcomes for patients receiving ultrasound guided foot and ankle injections were included. By comparing the timing of patient-initiated appointments against the standard 6-8 week appointments, the number of 'saved' appointments were calculated.

resultsOver twelve months, 104 injections were recorded. Fifty-nine patients (57%) requested a follow-up, with a median time to follow-up was 117 days. Only nine patients (9%) requested a review within 6-8 weeks. This may translate to a potential saving of £9500-£19,000 from the avoided follow-up appointments.

conclusionImproved pain monitoring through pain diaries allows follow-up appointments to be tailored to patients, which can improve patient experience and resource allocation.

Indexed as

AftercareArthralgiaAdultAgedAnkle JointAppointments and SchedulesFemaleFollow-Up StudiesFootHumansInjections, Intra-ArticularMaleMiddle AgedPain MeasurementTime FactorsUltrasonography, InterventionalAnkleAppointmentFootInjectionsPain diaryPatient-initiated follow-up (PIFU)

Identifiers

PMID39998697
PMCPMC11861138

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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.