Evidence map›Paper›PMID 34150148›Full record

ArticleAmerican journal of translational research2021

The effect of comprehensive nursing on the recovery speed and prognosis of elderly colon cancer patients.

Jingjing Wu, Chuanling Wei, Fengxia Li, Xiling Wang, Fang Sun

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Jingjing WuDepartment of Oncology and Chemotherapy, Zhangqiu District People's Hospital Zhangqiu, Jinan, China.
Chuanling WeiDepartment of Gynecology, Zhangqiu District People's Hospital Zhangqiu, Jinan, China.
Fengxia LiDepartment of Oncology and Chemotherapy, Zhangqiu District People's Hospital Zhangqiu, Jinan, China.
Xiling WangDepartment of Oncology and Chemotherapy, Zhangqiu District People's Hospital Zhangqiu, Jinan, China.
Fang SunTwo Branches of Bone Trauma, Zhangqiu District People's Hospital Zhangqiu, Jinan, China.
Zhangqiu City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the effect of comprehensive nursing on the recovery speed and prognosis of elderly colon cancer patients. A total of 110 elderly patients undergoing colon cancer surgery in our hospital from January 2018 to January 2020 were selected and divided into a control group (n=55, routine care) and an observation group (n=55, comprehensive nursing) according to the random number table method. The post-care stress state index score, surgical tolerance, postoperative recovery, postoperative complications, satisfaction, gastrointestinal quality of life index and other conditions were compared. The Numerical Rating Scale (NRS), Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA) and other indicators scores in observation group were lower than those in the control group; the observation group had shorter postoperative hospital stay, bed time, first defecating time, first anal exhaust time; the postoperative complication rate of the observation group was 9.09%, which was lower than 25.45% of the control group; the satisfaction rate of the observation group was 94.55%, which was higher than 78.18% of the control group. All the above differences were statistically significant (

Indexed as

colon cancerComprehensive nursingelderlyprognosisrecovery speed

Identifiers

PMID34150148
PMCPMC8205757
OpenAlexW3173368062

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.