Evidence map›Paper›PMID 38976890›Full record

ReviewCanadian Urological Association journal = Journal de l'Association des urologues du Canada2024

Implications of using conversational robots (chatbots) in uro-oncology A patient and physician perspective.

Daniel Alfonso Nieva-Posso, Daniel Andrés Nieva-Posso, Herney Andrés García-Perdomo

Abstract readReview
In one paragraph

Review in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2024. 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. Review
  2. Applications of Chatbots in Improving Patient Care Outcomes:Sultan Qaboos University medical journal · 2026
    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

3 authors.

Daniel Alfonso Nieva-PossoUROGIV, Group Research, School of Medicine, Universidad del Valle, Cali, Colombia.
Daniel Andrés Nieva-PossoUROGIV, Group Research, School of Medicine, Universidad del Valle, Cali, Colombia.
Herney Andrés García-PerdomoUROGIV, Group Research, School of Medicine, Universidad del Valle, Cali, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chatbots, or conversational robots, have become a strategy or support tool for urologic patient care, diagnostic communication, and treatment. With regard to patients, studies have shown that chatbots can answer medical questions with similar percentages of acceptability as urologists. In addition, they can contribute to patient education, allowing them to ask questions that do not arise during medical consultation. They have also proven to be good tools for health promotion and disease prevention. These benefits can also serve doctors, as robots can support medical consultation and the reading of medical records, making patient care more efficient; however, there are several limitations, including the accuracy of bot-generated answers and the acceptability that urologists give to this type of tool.

Identifiers

PMID38976890
PMCPMC11534396

What OpenQuestion holds

Textmetadata
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.