# The Relationship between the Items of the Barthel Index and Short-Term Prognosis in Terminal Cancer Patients

**Authors:** Shinya Okamoto, Kazuko Okazaki, Masahiro Okada, Fumiyoshi Murakami, Hiroki Sugihara, Yoshinori Hoshino, Yuka Ogawa, Kengo Banshoya, Eisuke Takei, Shuso Takeda, Narumi Sugihara

PMC · DOI: 10.3390/reports6010005 · Reports · 2023-01-31

## TL;DR

This study identifies specific items of the Barthel Index that better predict short-term survival in terminal cancer patients.

## Contribution

The study identifies specific Barthel Index items that more accurately predict short-term prognosis in terminal cancer patients.

## Key findings

- The BI item 'feeding' scores of 0/5 and 10 showed higher accuracy for 1- and 2-week prognosis prediction.
- The BI item 'mobility' and 'grooming' scores showed higher accuracy for 3-week prognosis prediction.
- Individual BI items may be more effective than overall BI scores for short-term prognosis prediction.

## Abstract

Predicting the short-term prognosis of patients with terminal cancer is important for treatment decisions and improving patients’ quality of life. Recently, it has been reported that the Barthel Index (BI) can predict short-term prognosis. This study aimed to distinguish the BI items that can more accurately predict the short-term prognosis of terminal cancer patients from among the other BI items. This study compared the accuracy of predicting the 1-, 2-, and 3-week prognosis of BI and individual BI items in 158 cancer patients who died between January 2018 and June 2020 at the Onomichi Municipal Hospital in Japan. For predicting the 1- and 2-week prognosis, the BI item “feeding” scores of 0/5 and 10 showed higher accuracies (0.766 and 0.715, respectively) than BI scores between 0–15/20–100. For predicting a 3-week prognosis, the BI item “mobility” scores of 0, 5/10, 15 and the BI item “grooming” scores between 0/5 showed higher accuracies (0.627 and 0.614, respectively) than BI scores between 0–35/40–100. BI and individual BI items may be an option for prognostic prediction in terminal cancer patients.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** died (MESH:D003643), Terminal Cancer (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12225333/full.md

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Source: https://tomesphere.com/paper/PMC12225333