Evidence map›Paper›PMID 41599017›Full record

Observational studyPathogens (Basel, Switzerland)2025

Clinical Indicators Distinguishing Pulmonary Tuberculosis from Community-Acquired Pneumonia in Older Adults: A Prospective Multicenter Study.

Mari Yamasue, Kosaku Komiya, Tetsuji Nakano, Ryosuke Hamanaka, Akihiko Goto, Shogo Ichihara, Takamasa Kan, Yuhei Nagaoka, Shoma Hirota, Yutaka Mukai and 7 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Pathogens (Basel, Switzerland), 2025. 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

17 authors.

Mari YamasueRespiratory Medicine and Infectious Diseases, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-shi 879-5593, Oita, Japan.
Kosaku KomiyaRespiratory Medicine and Infectious Diseases, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-shi 879-5593, Oita, Japan.ORCID 0000-0002-8679-1661
Tetsuji NakanoInternal Medicine, National Hospital Organization Nishi-Beppu Hospital, 4548 Tsurumi, Beppu-shi 874-0840, Oita, Japan.
Ryosuke HamanakaDepartment of Respiratory Medicine, Tenshindo Hetsugi Hospital, 5956 Nakahetsugi-Kawadoko, Oita-shi 879-7761, Oita, Japan.
Akihiko GotoDepartment of Respiratory Medicine, Oita Medical Center, 2-11-45 Yokota, Oita-shi 870-0263, Oita, Japan.ORCID 0000-0002-4875-9599
Shogo IchiharaRespiratory Medicine and Infectious Diseases, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-shi 879-5593, Oita, Japan.
Takamasa KanDepartment of Respiratory Medicine, Oita Prefectural Hospital, 2-8-1 Hojyo, Oita-shi 870-8511, Oita, Japan.
Yuhei NagaokaRespiratory Medicine and Infectious Diseases, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-shi 879-5593, Oita, Japan.
Shoma HirotaDepartment of Respiratory Medicine, Tenshindo Hetsugi Hospital, 5956 Nakahetsugi-Kawadoko, Oita-shi 879-7761, Oita, Japan.
Yutaka MukaiInternal Medicine, Oita Memorial Hospital, 2-5-10 Haya Oita-shi 870-0854, Oita, Japan.
Ryohei KudohRespiratory Medicine, Oita Red Cross Hospital, 3-2-37 Chiyo-machi, Oita-shi 870-0033, Oita, Japan.
Hiroaki FujisawaRespiratory Medicine and Infectious Diseases, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-shi 879-5593, Oita, Japan.
Ryota MoriyamaInternal Medicine, Usuki City Medical Association Hospital, 113-1 Tomuro-Nagatani, Usuki-shi 875-0051, Oita, Japan.
Atsushi YokoyamaDepartment of Respiratory Medicine, Oita Medical Center, 2-11-45 Yokota, Oita-shi 870-0263, Oita, Japan.
Takashi YamamotoDepartment of Internal Medicine, Bungo-Ono City Hospital, 226 Baba, Ogata-machi, Bungo-Ono-shi 879-6692, Oita, Japan.ORCID 0009-0005-4105-5408
Toshiko IkebePublic Health Policy and Infection Control Division, Oita Prefectural Government, 3-1-1 Ote-machi, Oita-shi 870-8501, Oita, Japan.
Seiya KatoThe Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, 3-1-24 Matsuyama, Kiyose-shi 204-8533, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development JP23fk0108674
6 · The paper itself

Abstract

Clinical indicators for pulmonary tuberculosis (PTB) among patients with community-acquired pneumonia (CAP) have been derived from studies on younger or middle-aged populations in high TB-burden countries. However, diagnostic clues specific to older adults remain insufficiently validated. This multicenter prospective observational study aimed to identify the clinical features that can help differentiate PTB from CAP among older patients. We enrolled patients aged ≥ 65 years who were diagnosed with PTB or non-TB CAP between September 2023 and September 2025. Clinical data-including demographics, symptoms, and laboratory findings, previously reported as potential discriminators of PTB-were compared between the two groups. Of 233 patients included, 57 (24%) were diagnosed with PTB. No significant difference in sex was observed between the PTB and non-TB CAP groups. The PTB group was older and had a poorer performance status than the CAP group. On multivariate logistic regression analysis, PTB was significantly and independently associated with weight loss (aOR 8.17,

Indexed as

Community-Acquired InfectionsPneumoniaTuberculosis, PulmonaryAgedAged, 80 and overCommunity-Acquired PneumoniaDiagnosis, DifferentialFemaleHumansMaleProspective Studiescommunity-acquired pneumoniadiagnosisolder adultspulmonary tuberculosis

Identifiers

PMID41599017
PMCPMC12845188

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.