Evidence map›Paper›PMID 28698318›Full record

SynthesisBMJ open2017

Words do matter: a systematic review on how different terminology for the same condition influences management preferences.

Brooke Nickel, Alexandra Barratt, Tessa Copp, Ray Moynihan, Kirsten McCaffery

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Effect of a Surgeon Communication Strategy on Treatment Preference for Thyroid Cancer: A Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Trial
  4. Trial
  5. Trial
  6. Trial
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  8. Mapping terminology and domains related to spirituality in oncology: scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2025
    Article
  14. Shared Decision-Making and Discontinuation of Opioid Therapy for Chronic Pain.Journal of the American Board of Family Medicine : JABFM · 2025
    Article
  15. Article
  16. Risk perception of patients with ductal carcinomaHistology and histopathology · 2025
    Review
  17. Review
  18. Article
  19. Article
  20. 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.

Brooke NickelWiser Healthcare, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Alexandra BarrattWiser Healthcare, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Tessa CoppWiser Healthcare, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Ray MoynihanWiser Healthcare, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Kirsten McCafferyWiser Healthcare, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesChanging terminology for low-risk, screen-detected conditions has now been recommended by several expert groups in order to prevent overdiagnosis and reduce the associated harms of overtreatment. However, the effect of terminology on patients' preferences for management is not well understood. This review aims to synthesise existing studies on terminology and its impact on management decision making.

designSystematic review.

methodsStudies were included that compared two or more terminologies to describe the same condition and measured the effect on treatment or management preferences and/or choices. Studies were identified via database searches from inception to April 2017, and from reference lists. Two authors evaluated the eligibility of studies with verification from the study team, extracted and crosschecked data, and assessed the risk of bias of included studies.

resultsOf the 1399 titles identified, seven studies, all of which included hypothetical scenarios, met the inclusion criteria. Six studies were quantitative and one was qualitative. Six of the studies were of high quality. Studies covered a diverse range of conditions: ductal carcinoma in situ (3), gastro-oesophageal reflux disease (1), conjunctivitis (1), polycystic ovary syndrome (1) and a bony fracture (1). The terminologies compared in each study varied based on the condition assessed. Based on a narrative synthesis of the data, when a more medicalised or precise term was used to describe the condition, it generally resulted in a shift in preference towards more invasive managements, and/or higher ratings of anxiety and perceived severity of the condition.

conclusionsDifferent terminology given for the same condition influenced management preferences and psychological outcomes in a consistent pattern in these studies. Changing the terminology may be one strategy to reduce patient preferences for aggressive management responses to low-risk conditions. TRIAL REGISTRATION NUMBER: PROSPERO: CRD42016035643.

Indexed as

Disease ManagementPatient PreferenceTerminology as TopicChoice BehaviorDecision MakingHumansMedical OveruseRandomized Controlled Trials as Topicdecision makingmanagement preferencesovertreatmentterminologytreatment preferences

Identifiers

PMID28698318
PMCPMC5541578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.