ArticleThe Cochrane database of systematic reviews2026
Antibiotic therapy for pelvic inflammatory disease: a network meta-analysis.
Article in The Cochrane database of systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis is a protocol for a Cochrane review (intervention). The objectives are as follows: To assess the comparative benefits and harms of systemic antibiotic regimens for the treatment of acute pelvic inflammatory disease in women of reproductive age. The secondary objectives are: to estimate the incremental effect of adding nitroimidazole to an antibiotic backbone; to compare the efficacy of azithromycin-containing regimens with relevant alternatives, where the evidence network permits (in Network B, this comparison depends on setting-disaggregated data from a single eligible trial and may not be estimable); and to describe narratively whether treatment hierarchies appear consistent between the outpatient (Network A) and inpatient (Network B) evidence, since direct statistical comparison between networks is not undertaken.
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Registered trials
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.