Evidence map›Paper›PMID 39788780›Full record

ArticleBMJ open2025

Protocol for the development of a guideline on post-extubation respiratory support for mechanically ventilated patients in the ICU.

Xiaofang Hu, Jie Cheng, Jialu Hou, Min Zhang, Yan Han, Jinhui Tian

Abstract read
In one paragraph

Article in BMJ open, 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

6 authors.

Xiaofang Hu *Nursing Department, Changzhi People's Hospital, Changzhi, Shanxi Province, China huxiaofang860405@163.com.
Jie Cheng *Nursing Department, Changzhi People's Hospital, Changzhi, Shanxi Province, China.
Jialu Hou *Nursing Department, Changzhi People's Hospital, Changzhi, Shanxi Province, China.ORCID 0000-0002-2679-799X
Min ZhangNursing Department, Changzhi People's Hospital, Changzhi, Shanxi Province, China.
Yan HanNursing Department, Changzhi People's Hospital, Changzhi, Shanxi Province, China.
Jinhui TianEvidence based medicine center, Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prophylactic respiratory support for patients after extubation is effective in improving their outcomes and prognosis. However, the optimal post-extubation respiratory support for different populations and disease types of mechanically ventilated patients remains controversial, and there is a lack of detailed, multidisciplinary, evidence-based recommendations for clinical application. METHODS AND ANALYSIS: This protocol strictly follows the development process outlined in the WHO Handbook for Guideline Development and Guidelines 2.0, as well as the guidelines for the development of relevant methodological standards. Key steps in developing the guideline include: (1) establishing the guideline working groups, (2) defining the scope of guideline application, (3) selecting the priority clinical questions, (4) retrieving and screening evidence, (5) grading the quality of evidence, (6) forming recommendations and (7) conducting an external review. ETHICS AND DISSEMINATION: Ethical approval has been granted by Changzhi People's Hospital (2023K023). Findings from this study will be disseminated through peer-reviewed publications. GUIDELINE REGISTRATION: PREPARE-2023CN418.

Indexed as

Airway ExtubationIntensive Care UnitsPractice Guidelines as TopicRespiration, ArtificialHumansVentilator WeaningAdult intensive & critical careNeonatal intensive & critical carePaediatric intensive & critical careRespiratory Therapy

Identifiers

PMID39788780
PMCPMC11752012

What OpenQuestion holds

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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.