Evidence map›Paper›PMID 41663480›Full record

ArticleScientific reports2026

Cost of illness of Mycoplasma genitalium in Australia: an incidence-based approach incorporating resistance-guided therapy.

Qinglu Cheng, Caroline Watts, Rabiah Al Adawiyah, Rebecca Guy, Jason J Ong, Catriona S Bradshaw, Virginia Wiseman

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Qinglu ChengThe Kirby Institute, University of New South Wales, Sydney, Australia. qcheng@kirby.unsw.edu.au.
Caroline WattsThe Kirby Institute, University of New South Wales, Sydney, Australia.
Rabiah Al AdawiyahGlobal Health and Infectious Disease (GHID) Unit, Melbourne Health Economics, Centre for Health Policy, University of Melbourne, Melbourne, Australia.
Rebecca GuyThe Kirby Institute, University of New South Wales, Sydney, Australia.
Jason J OngSchool of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
Catriona S BradshawSchool of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
Virginia WisemanThe Kirby Institute, University of New South Wales, Sydney, Australia.

Funding

Australian Research Council IH190100021
6 · The paper itself

Abstract

As macrolide-resistant Mycoplasma genitalium (MG) becomes more prevalent, resistance-guided therapy (RGT) for MG has been recommended in clinical guidelines to improve first-line antibiotic selection and increase cure rates. This study adopted an incidence-based approach and a healthcare sector perspective to measure the cost of illness of MG in Australia. Two management strategies, RGT and non-RGT, were examined. A decision tree model was developed to replicate the clinical pathways among non-pregnant women, men who have sex with men (MSM) and men who have sex with women (MSW). The burden of managing a woman diagnosed with MG was lower under RGT compared to non-RGT (AUD 249 vs. 283). For MSM, the expected per-person cost was AUD 240 and AUD 279 under RGT and non-RGT. For MSW, non-RGT would cost an additional AUD 23. Overall, this study found that the economic burden of MG under RGT is lower than under non-RGT for both women and men in Australia. RGT offers cost savings while improving MG clinical management and helping to slow the spread of macrolide resistance.

Indexed as

Anti-Bacterial AgentsCost of IllnessDrug Resistance, BacterialMycoplasma genitaliumMycoplasma InfectionsAustraliaFemaleHumansIncidenceMacrolidesMaleAnti-Bacterial AgentsMacrolides

Identifiers

PMID41663480
PMCPMC12957478

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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.